Ehasn Dehghan
Postdoctoral Researcher
School of Computing
Queen's University
Dehghan, Ehsan; Le, Yi; Lee, Junghoon; Song, Danny Y; Fichtinger, Gabor; Prince, Jerry L.
CT AND MRI FUSION FOR POSTIMPLANT PROSTATE BRACHYTHERAPY EVALUATION Conference
IEEE Int. Symp on Biomedical Imaging, 2016.
@conference{Dehghan2016,
title = {CT AND MRI FUSION FOR POSTIMPLANT PROSTATE BRACHYTHERAPY EVALUATION},
author = {Ehsan Dehghan and Yi Le and Junghoon Lee and Danny Y Song and Gabor Fichtinger and Jerry L. Prince},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Ehsan_ISBI_2016.pdf},
year = {2016},
date = {2016-04-01},
urldate = {2016-04-01},
booktitle = {IEEE Int. Symp on Biomedical Imaging},
pages = {625-628},
abstract = {<p>Postoperative evaluation of prostate brachytherapy is typically<br />
performed using CT, which does not have sufficient<br />
soft tissue contrast for accurate anatomy delineation. MR-CT<br />
fusion enables more accurate localization of both anatomy<br />
and implanted radioactive seeds, and hence, improves the<br />
accuracy of postoperative dosimetry. We propose a method<br />
for automatic registration of MR and CT images without a<br />
need for manual initialization. Our registration method employs<br />
a point-to-volume registration scheme during which<br />
localized seeds in the CT images, produced by commercial<br />
treatment planning systems as part of the standard of care,<br />
are rigidly registered to preprocessed MRI images. We tested<br />
our algorithm on ten patient data sets and achieved an overall<br />
registration error of 1.6 ± 0.8mm with a running time of less<br />
than 20s. With high registration accuracy and computational<br />
speed, and no need for manual intervention, our method has<br />
the potential to be employed in clinical applications.</p>},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
<p>Postoperative evaluation of prostate brachytherapy is typically<br />
performed using CT, which does not have sufficient<br />
soft tissue contrast for accurate anatomy delineation. MR-CT<br />
fusion enables more accurate localization of both anatomy<br />
and implanted radioactive seeds, and hence, improves the<br />
accuracy of postoperative dosimetry. We propose a method<br />
for automatic registration of MR and CT images without a<br />
need for manual initialization. Our registration method employs<br />
a point-to-volume registration scheme during which<br />
localized seeds in the CT images, produced by commercial<br />
treatment planning systems as part of the standard of care,<br />
are rigidly registered to preprocessed MRI images. We tested<br />
our algorithm on ten patient data sets and achieved an overall<br />
registration error of 1.6 ± 0.8mm with a running time of less<br />
than 20s. With high registration accuracy and computational<br />
speed, and no need for manual intervention, our method has<br />
the potential to be employed in clinical applications.</p>
performed using CT, which does not have sufficient<br />
soft tissue contrast for accurate anatomy delineation. MR-CT<br />
fusion enables more accurate localization of both anatomy<br />
and implanted radioactive seeds, and hence, improves the<br />
accuracy of postoperative dosimetry. We propose a method<br />
for automatic registration of MR and CT images without a<br />
need for manual initialization. Our registration method employs<br />
a point-to-volume registration scheme during which<br />
localized seeds in the CT images, produced by commercial<br />
treatment planning systems as part of the standard of care,<br />
are rigidly registered to preprocessed MRI images. We tested<br />
our algorithm on ten patient data sets and achieved an overall<br />
registration error of 1.6 ± 0.8mm with a running time of less<br />
than 20s. With high registration accuracy and computational<br />
speed, and no need for manual intervention, our method has<br />
the potential to be employed in clinical applications.</p>
Dehghan, Ehsan; Le, Yi; Lee, Junghoon; Song, Daniel Y; Fichtinger, Gabor; Prince, Jerry L
CT and MRI fusion for postimplant prostate brachytherapy evaluation Journal Article
In: pp. 625-628, 2016.
@article{fichtinger2016h,
title = {CT and MRI fusion for postimplant prostate brachytherapy evaluation},
author = {Ehsan Dehghan and Yi Le and Junghoon Lee and Daniel Y Song and Gabor Fichtinger and Jerry L Prince},
url = {https://ieeexplore.ieee.org/abstract/document/7493345/},
year = {2016},
date = {2016-01-01},
pages = {625-628},
publisher = {IEEE},
abstract = {Postoperative evaluation of prostate brachytherapy is typically performed using CT, which does not have sufficient soft tissue contrast for accurate anatomy delineation. MR-CT fusion enables more accurate localization of both anatomy and implanted radioactive seeds, and hence, improves the accuracy of postoperative dosimetry. We propose a method for automatic registration of MR and CT images without a need for manual initialization. Our registration method employs a point-to-volume registration scheme during which localized seeds in the CT images, produced by commercial treatment planning systems as part of the standard of care, are rigidly registered to preprocessed MRI images. We tested our algorithm on ten patient data sets and achieved an overall registration error of 1.6 ± 0.8 mm with a running time of less than 20s. With high registration accuracy and computational speed, and no need for manual …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Postoperative evaluation of prostate brachytherapy is typically performed using CT, which does not have sufficient soft tissue contrast for accurate anatomy delineation. MR-CT fusion enables more accurate localization of both anatomy and implanted radioactive seeds, and hence, improves the accuracy of postoperative dosimetry. We propose a method for automatic registration of MR and CT images without a need for manual initialization. Our registration method employs a point-to-volume registration scheme during which localized seeds in the CT images, produced by commercial treatment planning systems as part of the standard of care, are rigidly registered to preprocessed MRI images. We tested our algorithm on ten patient data sets and achieved an overall registration error of 1.6 ± 0.8 mm with a running time of less than 20s. With high registration accuracy and computational speed, and no need for manual …
Li, Yi; Burdette, E. Clif; Prince, Jerry L.; Fichtinger, Gabor; Lee, Junghoon; Song, Danny Y; Kuo, Nathanael; Dehghan, Ehsan; Degeut, Anton; Mian, Omar
An image-guidance system for dynamic dose calculation in prostate brachytherapy using ultrasound and fluoroscopy Journal Article
In: Medical Physics, vol. 41, 2014.
@article{Kuo2014,
title = {An image-guidance system for dynamic dose calculation in prostate brachytherapy using ultrasound and fluoroscopy},
author = {Yi Li and E. Clif Burdette and Jerry L. Prince and Gabor Fichtinger and Junghoon Lee and Danny Y Song and Nathanael Kuo and Ehsan Dehghan and Anton Degeut and Omar Mian},
url = {http://dx.doi.org/10.1118/1.4893761
https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Kuo_MedPhys2014.pdf},
year = {2014},
date = {2014-08-01},
urldate = {2014-08-01},
journal = {Medical Physics},
volume = {41},
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pubstate = {published},
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}
Dehghan, Ehsan; Kuo, Nathanael; Deguet, Anton; Le, Yi; Armour, Elwood; Burdette, E Clif; Song, Danny Y; Fichtinger, Gabor; Prince, Jerry L; Lee, Junghoon
Ultrasound-fluoroscopy registration for intraoperative dynamic dosimetry in prostate brachytherapy Journal Article
In: Abdomen and Thoracic Imaging: An Engineering & Clinical Perspective, pp. 587-621, 2014.
@article{fichtinger2014o,
title = {Ultrasound-fluoroscopy registration for intraoperative dynamic dosimetry in prostate brachytherapy},
author = {Ehsan Dehghan and Nathanael Kuo and Anton Deguet and Yi Le and Elwood Armour and E Clif Burdette and Danny Y Song and Gabor Fichtinger and Jerry L Prince and Junghoon Lee},
url = {https://link.springer.com/chapter/10.1007/978-1-4614-8498-1_23},
year = {2014},
date = {2014-01-01},
journal = {Abdomen and Thoracic Imaging: An Engineering & Clinical Perspective},
pages = {587-621},
publisher = {Springer US},
abstract = {Low-dose-rate prostate brachytherapy is a treatment option for low- and mid-risk prostate cancer through introduction of radioactive seeds into the prostate. Seed placement deviations are common and associated with postoperative complications. Dynamic dosimetry is a method to accurately localize the true position of the seeds inside the tissue, calculate the delivered dose, and adapt the implant plan accordingly to compensate for seed placement deviations in the operating room. A practical method for dynamic dosimetry relies on localization of the implanted seeds in 3D space from several C-arm images and registering them to a 3D ultrasound volume of the prostate region. In this chapter we introduce a system and workflow for intraoperative dosimetry for prostate brachytherapy. In the suggested workflow, C-arm images are acquired from different angles and are used to reconstruct the seeds in 3D space …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Low-dose-rate prostate brachytherapy is a treatment option for low- and mid-risk prostate cancer through introduction of radioactive seeds into the prostate. Seed placement deviations are common and associated with postoperative complications. Dynamic dosimetry is a method to accurately localize the true position of the seeds inside the tissue, calculate the delivered dose, and adapt the implant plan accordingly to compensate for seed placement deviations in the operating room. A practical method for dynamic dosimetry relies on localization of the implanted seeds in 3D space from several C-arm images and registering them to a 3D ultrasound volume of the prostate region. In this chapter we introduce a system and workflow for intraoperative dosimetry for prostate brachytherapy. In the suggested workflow, C-arm images are acquired from different angles and are used to reconstruct the seeds in 3D space …
Filippo, Chiara Amat San; Fichtinger, Gabor; Morris, William James; Salcudean, Septimiu E; Dehghan, Ehsan; Fallavollita, Pascal
Intraoperative segmentation of iodine and palladium radioactive sources in C-arm images Journal Article
In: International journal of computer assisted radiology and surgery, vol. 9, pp. 769-776, 2014.
@article{fichtinger2014m,
title = {Intraoperative segmentation of iodine and palladium radioactive sources in C-arm images},
author = {Chiara Amat San Filippo and Gabor Fichtinger and William James Morris and Septimiu E Salcudean and Ehsan Dehghan and Pascal Fallavollita},
url = {https://link.springer.com/article/10.1007/s11548-014-0983-2},
year = {2014},
date = {2014-01-01},
journal = {International journal of computer assisted radiology and surgery},
volume = {9},
pages = {769-776},
publisher = {Springer Berlin Heidelberg},
abstract = {Purpose
Dynamic dosimetry is becoming the standard to evaluate the quality of radioactive implants during brachytherapy. For this, it is essential to obtain a 3D visualization of the implanted seeds and their relative position to the prostate. A method was developed to obtain a robust and precise segmentation of seeds in C-arm images, and this approach was tested using clinical datasets.
Method
A region-based implicit active contour approach was used to delineate implanted seeds. Then, a template-based matching was employed to segment iodine implants whereas a K-means algorithm is implemented to resolve palladium seed clusters. To validate the method, 55 C-arm images from 10 patients were used for the segmentation of iodine sources, whereas 225 C-arm images from 16 patients were used for the palladium case …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Purpose
Dynamic dosimetry is becoming the standard to evaluate the quality of radioactive implants during brachytherapy. For this, it is essential to obtain a 3D visualization of the implanted seeds and their relative position to the prostate. A method was developed to obtain a robust and precise segmentation of seeds in C-arm images, and this approach was tested using clinical datasets.
Method
A region-based implicit active contour approach was used to delineate implanted seeds. Then, a template-based matching was employed to segment iodine implants whereas a K-means algorithm is implemented to resolve palladium seed clusters. To validate the method, 55 C-arm images from 10 patients were used for the segmentation of iodine sources, whereas 225 C-arm images from 16 patients were used for the palladium case …
Dynamic dosimetry is becoming the standard to evaluate the quality of radioactive implants during brachytherapy. For this, it is essential to obtain a 3D visualization of the implanted seeds and their relative position to the prostate. A method was developed to obtain a robust and precise segmentation of seeds in C-arm images, and this approach was tested using clinical datasets.
Method
A region-based implicit active contour approach was used to delineate implanted seeds. Then, a template-based matching was employed to segment iodine implants whereas a K-means algorithm is implemented to resolve palladium seed clusters. To validate the method, 55 C-arm images from 10 patients were used for the segmentation of iodine sources, whereas 225 C-arm images from 16 patients were used for the palladium case …
Kuo, Nathanael; Dehghan, Ehsan; Deguet, Anton; Mian, Omar Y; Le, Yi; Burdette, E Clif; Fichtinger, Gabor; Prince, Jerry L; Song, Danny Y; Lee, Junghoon
An image‐guidance system for dynamic dose calculation in prostate brachytherapy using ultrasound and fluoroscopy Journal Article
In: Medical physics, vol. 41, iss. 9, pp. 091712, 2014.
@article{fichtinger2014h,
title = {An image‐guidance system for dynamic dose calculation in prostate brachytherapy using ultrasound and fluoroscopy},
author = {Nathanael Kuo and Ehsan Dehghan and Anton Deguet and Omar Y Mian and Yi Le and E Clif Burdette and Gabor Fichtinger and Jerry L Prince and Danny Y Song and Junghoon Lee},
url = {https://aapm.onlinelibrary.wiley.com/doi/abs/10.1118/1.4893761},
year = {2014},
date = {2014-01-01},
journal = {Medical physics},
volume = {41},
issue = {9},
pages = {091712},
publisher = {American Association of Physicists in Medicine},
abstract = {Purpose:
Brachytherapy is a standard option of care for prostate cancer patients but may be improved by dynamic dose calculation based on localized seed positions. The American Brachytherapy Society states that the major current limitation of intraoperative treatment planning is the inability to localize the seeds in relation to the prostate. An image‐guidance system was therefore developed to localize seeds for dynamic dose calculation.
Methods:
The proposed system is based on transrectal ultrasound (TRUS) and mobile C‐arm fluoroscopy, while using a simple fiducial with seed‐like markers to compute pose from the nonencoded C‐arm. Three or more fluoroscopic images and an ultrasound volume are acquired and processed by a pipeline of algorithms: (1) seed segmentation, (2) fiducial detection with pose estimation, (3) seed matching with reconstruction, and (4) fluoroscopy‐to‐TRUS registration …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Purpose:
Brachytherapy is a standard option of care for prostate cancer patients but may be improved by dynamic dose calculation based on localized seed positions. The American Brachytherapy Society states that the major current limitation of intraoperative treatment planning is the inability to localize the seeds in relation to the prostate. An image‐guidance system was therefore developed to localize seeds for dynamic dose calculation.
Methods:
The proposed system is based on transrectal ultrasound (TRUS) and mobile C‐arm fluoroscopy, while using a simple fiducial with seed‐like markers to compute pose from the nonencoded C‐arm. Three or more fluoroscopic images and an ultrasound volume are acquired and processed by a pipeline of algorithms: (1) seed segmentation, (2) fiducial detection with pose estimation, (3) seed matching with reconstruction, and (4) fluoroscopy‐to‐TRUS registration …
Brachytherapy is a standard option of care for prostate cancer patients but may be improved by dynamic dose calculation based on localized seed positions. The American Brachytherapy Society states that the major current limitation of intraoperative treatment planning is the inability to localize the seeds in relation to the prostate. An image‐guidance system was therefore developed to localize seeds for dynamic dose calculation.
Methods:
The proposed system is based on transrectal ultrasound (TRUS) and mobile C‐arm fluoroscopy, while using a simple fiducial with seed‐like markers to compute pose from the nonencoded C‐arm. Three or more fluoroscopic images and an ultrasound volume are acquired and processed by a pipeline of algorithms: (1) seed segmentation, (2) fiducial detection with pose estimation, (3) seed matching with reconstruction, and (4) fluoroscopy‐to‐TRUS registration …
Filippo, Chiara Amat San; Fichtinger, Gabor; Morris, William J.; Salcudean, Septimiu E.; Dehghan, Ehsan; Fallavollita, Pascal
Declustering n-Connected Components for Segmentation of Iodine Implants in C-Arm Fluoroscopy Images Conference
Information Processing in Computer-Assisted Interventions (IPCAI), Springer Springer, Heidelberg, Germany, June 26, 2013, 2013.
@conference{Filippo2013,
title = {Declustering n-Connected Components for Segmentation of Iodine Implants in C-Arm Fluoroscopy Images},
author = {Chiara Amat San Filippo and Gabor Fichtinger and William J. Morris and Septimiu E. Salcudean and Ehsan Dehghan and Pascal Fallavollita},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Filippo2013.pdf},
year = {2013},
date = {2013-06-01},
urldate = {2013-06-01},
booktitle = {Information Processing in Computer-Assisted Interventions (IPCAI)},
pages = {101-110},
publisher = {Springer},
address = {Heidelberg, Germany, June 26, 2013},
organization = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {conference}
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Moradi, Mehdi; Mahdavi, S. S.; Dehghan, Ehsan; Lobo, Julio R.; Deshmukh, S.; Morris, William J.; Fichtinger, Gabor; Salcudean, Septimiu E.
Seed localization in ultrasound and registration to C-arm fluoroscopy using matched needle tracks for prostate brachytherapy. Journal Article
In: IEEE Transactions on Bio-Medical Engineering, vol. 59, pp. 2558 - 2567, 2012.
@article{Moradi2012,
title = {Seed localization in ultrasound and registration to C-arm fluoroscopy using matched needle tracks for prostate brachytherapy.},
author = {Mehdi Moradi and S. S. Mahdavi and Ehsan Dehghan and Julio R. Lobo and S. Deshmukh and William J. Morris and Gabor Fichtinger and Septimiu E. Salcudean},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Moradi2012.pdf},
doi = {10.1109/TBME.2012.2206808},
year = {2012},
date = {2012-06-01},
urldate = {2012-06-01},
journal = {IEEE Transactions on Bio-Medical Engineering},
volume = {59},
pages = {2558 - 2567},
abstract = {<p>We propose a novel fiducial-free approach for the registration of C-arm fluoroscopy to 3D ultrasound images of prostate brachytherapy implants to enable dosimetry. The approach involves the reliable detection of a subset of radioactive seeds from 3D ultrasound, and the use of needle tracks in both ultrasound and fluoroscopy for registration. Seed detection in ultrasound is achieved through template matching in 3D radio frequency ultrasound signals, followed by thresholding and spatial filtering. The resulting subset of seeds is registered to the complete reconstruction of the brachytherapy implant from multiple C-arm fluoroscopy views. To compensate for the deformation caused by the ultrasound probe, simulated warping is applied to the seed cloud from fluoroscopy. The magnitude of the applied warping is optimized within the registration process. The registration is performed in two stages. First, the needle track projections from fluoroscopy and ultrasound are matched. Only the seeds in the matched needles are then used as fiducials for point-based registration. We report results from a physical phantom with a realistic implant (average postregistration seed distance of 1.6±1.2 mm) and from five clinical patient datasets (average error: 2.8±1.5 mm over 128 detected seeds). We conclude that it is feasible to use RF ultrasound data, template matching, and spatial filtering to detect a reliable subset of brachytherapy seeds from ultrasound to enable registration to fluoroscopy for dosimetry.</p>},
keywords = {},
pubstate = {published},
tppubtype = {article}
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<p>We propose a novel fiducial-free approach for the registration of C-arm fluoroscopy to 3D ultrasound images of prostate brachytherapy implants to enable dosimetry. The approach involves the reliable detection of a subset of radioactive seeds from 3D ultrasound, and the use of needle tracks in both ultrasound and fluoroscopy for registration. Seed detection in ultrasound is achieved through template matching in 3D radio frequency ultrasound signals, followed by thresholding and spatial filtering. The resulting subset of seeds is registered to the complete reconstruction of the brachytherapy implant from multiple C-arm fluoroscopy views. To compensate for the deformation caused by the ultrasound probe, simulated warping is applied to the seed cloud from fluoroscopy. The magnitude of the applied warping is optimized within the registration process. The registration is performed in two stages. First, the needle track projections from fluoroscopy and ultrasound are matched. Only the seeds in the matched needles are then used as fiducials for point-based registration. We report results from a physical phantom with a realistic implant (average postregistration seed distance of 1.6±1.2 mm) and from five clinical patient datasets (average error: 2.8±1.5 mm over 128 detected seeds). We conclude that it is feasible to use RF ultrasound data, template matching, and spatial filtering to detect a reliable subset of brachytherapy seeds from ultrasound to enable registration to fluoroscopy for dosimetry.</p>
Lobo, Julio R.; Moradi, Mehdi; Chng, N.; Dehghan, Ehsan; Morris, William J.; Fichtinger, Gabor; Salcudean, Septimiu E.
Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy Journal Article
In: IEEE Transactions on Medical Imaging, vol. 31, pp. 738 - 748, 2012, ISSN: 1558-254X.
@article{Lobo2012,
title = {Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy},
author = {Julio R. Lobo and Mehdi Moradi and N. Chng and Ehsan Dehghan and William J. Morris and Gabor Fichtinger and Septimiu E. Salcudean},
doi = {10.1109/TMI.2011.2178254},
issn = {1558-254X},
year = {2012},
date = {2012-03-01},
urldate = {2012-03-01},
journal = {IEEE Transactions on Medical Imaging},
volume = {31},
pages = {738 - 748},
keywords = {},
pubstate = {published},
tppubtype = {article}
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Moult, Eric; Fichtinger, Gabor; Morris, William J.; Salcudean, Septimiu E.; Dehghan, Ehsan; Fallavollita, Pascal
Segmentation of iodine brachytherapy implants in fluoroscopy Journal Article
In: International Journal of Computer Assisted Radiology and Surgery, 2012.
@article{Moult2012b,
title = {Segmentation of iodine brachytherapy implants in fluoroscopy},
author = {Eric Moult and Gabor Fichtinger and William J. Morris and Septimiu E. Salcudean and Ehsan Dehghan and Pascal Fallavollita},
url = {http://www.springerlink.com/content/kmn31823g053wj55/},
doi = {10.1007/s11548-012-0679-4},
year = {2012},
date = {2012-01-01},
urldate = {2012-01-01},
journal = {International Journal of Computer Assisted Radiology and Surgery},
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Moradi, Mehdi; Mahdavi, S Sara; Dehghan, Ehsan; Lobo, Julio R; Deshmukh, Sanchit; Morris, William James; Fichtinger, Gabor; Salcudean, Septimiu E
Seed localization in ultrasound and registration to C-arm fluoroscopy using matched needle tracks for prostate brachytherapy Journal Article
In: IEEE transactions on biomedical engineering, vol. 59, iss. 9, pp. 2558-2567, 2012.
@article{fichtinger2012l,
title = {Seed localization in ultrasound and registration to C-arm fluoroscopy using matched needle tracks for prostate brachytherapy},
author = {Mehdi Moradi and S Sara Mahdavi and Ehsan Dehghan and Julio R Lobo and Sanchit Deshmukh and William James Morris and Gabor Fichtinger and Septimiu E Salcudean},
url = {https://ieeexplore.ieee.org/abstract/document/6228521/},
year = {2012},
date = {2012-01-01},
journal = {IEEE transactions on biomedical engineering},
volume = {59},
issue = {9},
pages = {2558-2567},
publisher = {IEEE},
abstract = {We propose a novel fiducial-free approach for the registration of C-arm fluoroscopy to 3-D ultrasound images of prostate brachytherapy implants to enable dosimetry. The approach involves the reliable detection of a subset of radioactive seeds from 3-D ultrasound, and the use of needle tracks in both ultrasound and fluoroscopy for registration. Seed detection in ultrasound is achieved through template matching in 3-D radio frequency ultrasound signals, followed by thresholding and spatial filtering. The resulting subset of seeds is registered to the complete reconstruction of the brachytherapy implant from multiple C-arm fluoroscopy views. To compensate for the deformation caused by the ultrasound probe, simulated warping is applied to the seed cloud from fluoroscopy. The magnitude of the applied warping is optimized within the registration process. The registration is performed in two stages. First, the needle track …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
We propose a novel fiducial-free approach for the registration of C-arm fluoroscopy to 3-D ultrasound images of prostate brachytherapy implants to enable dosimetry. The approach involves the reliable detection of a subset of radioactive seeds from 3-D ultrasound, and the use of needle tracks in both ultrasound and fluoroscopy for registration. Seed detection in ultrasound is achieved through template matching in 3-D radio frequency ultrasound signals, followed by thresholding and spatial filtering. The resulting subset of seeds is registered to the complete reconstruction of the brachytherapy implant from multiple C-arm fluoroscopy views. To compensate for the deformation caused by the ultrasound probe, simulated warping is applied to the seed cloud from fluoroscopy. The magnitude of the applied warping is optimized within the registration process. The registration is performed in two stages. First, the needle track …
Dehghan, Ehsan; Lee, Junghoon; Fallavollita, Pascal; Kuo, Nathanael; Degeut, Anton; Le, Yi; Burdette, E. Clif; Song, Danny Y; Prince, Jerry L.; Fichtinger, Gabor
Ultrasound–fluoroscopy registration for prostate brachytherapy dosimetry Journal Article
In: Medical Image Analysis, vol. 16, pp. 1347-1358, 2012.
@article{Dehghan2012a,
title = {Ultrasound–fluoroscopy registration for prostate brachytherapy dosimetry},
author = {Ehsan Dehghan and Junghoon Lee and Pascal Fallavollita and Nathanael Kuo and Anton Degeut and Yi Le and E. Clif Burdette and Danny Y Song and Jerry L. Prince and Gabor Fichtinger},
url = {http://www.sciencedirect.com/science/article/pii/S1361841512000813
https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Dehghan_etal_US_Fluoro_Reg.pdf},
doi = {http://dx.doi.org/10.1016/j.media.2012.06.001},
year = {2012},
date = {2012-01-01},
urldate = {2012-01-01},
journal = {Medical Image Analysis},
volume = {16},
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Dehghan, Ehsan; Moradi, Mehdi; Wen, Xu; French, Danny; Lobo, Julio R.; Morris, William J.; Salcudean, Septimiu E.; Fichtinger, Gabor
Prostate implant reconstruction from C-arm images with motion-compensated tomosynthesis Journal Article
In: Medical Physics, vol. 38, no. 10, pp. 5290 – 5302, 2011.
@article{Dehghan2011c,
title = {Prostate implant reconstruction from C-arm images with motion-compensated tomosynthesis},
author = {Ehsan Dehghan and Mehdi Moradi and Xu Wen and Danny French and Julio R. Lobo and William J. Morris and Septimiu E. Salcudean and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Dehghan_etal_MedPhys2011.pdf},
year = {2011},
date = {2011-10-01},
urldate = {2011-10-01},
journal = {Medical Physics},
volume = {38},
number = {10},
pages = {5290 – 5302},
keywords = {},
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Dehghan, Ehsan; Jain, Ameet K.; Moradi, Mehdi; Wen, Xu; Morris, William J.; Salcudean, Septimiu E.; Fichtinger, Gabor
Brachytherapy Seed Reconstruction with Joint-Encoded C-Arm Single-Axis Rotation and Motion Compensation Journal Article
In: Medical Image Analysis, vol. 15, pp. 760 – 771, 2011.
@article{Dehghan2011a,
title = {Brachytherapy Seed Reconstruction with Joint-Encoded C-Arm Single-Axis Rotation and Motion Compensation},
author = {Ehsan Dehghan and Ameet K. Jain and Mehdi Moradi and Xu Wen and William J. Morris and Septimiu E. Salcudean and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Dehghan_etal_US_Fluoro_Reg.pdf},
doi = {10.1016/j.media.2011.05.017},
year = {2011},
date = {2011-10-01},
urldate = {2011-10-01},
journal = {Medical Image Analysis},
volume = {15},
pages = {760 – 771},
keywords = {},
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}
Moradi, Mehdi; Mahdavi, S. S.; Deshmukh, S.; Lobo, Julio R.; Dehghan, Ehsan; Fichtinger, Gabor; Morris, William J.; Salcudean, Septimiu E.
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), vol. 6891, Toronto, ON, Canada, 2011.
@conference{Moradi2011a,
title = {Towards intra-operative prostate brachytherapy dosimetry based on partial seed localization in ultrasound and registration to C-arm fluoroscopy},
author = {Mehdi Moradi and S. S. Mahdavi and S. Deshmukh and Julio R. Lobo and Ehsan Dehghan and Gabor Fichtinger and William J. Morris and Septimiu E. Salcudean},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Moradi2011a.pdf},
year = {2011},
date = {2011-09-01},
urldate = {2011-09-01},
booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011)},
volume = {6891},
pages = {291-298},
address = {Toronto, ON, Canada},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Lobo, Julio R.; Moradi, Mehdi; Chng, N.; Dehghan, Ehsan; Morris, William J.; Fichtinger, Gabor; Salcudean, Septimiu E.
Quantifying stranded implant displacement following prostate brachytherapy Conference
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), vol. 6891, Toronto, ON, Canada, 2011.
@conference{Lobo2011a,
title = {Quantifying stranded implant displacement following prostate brachytherapy},
author = {Julio R. Lobo and Mehdi Moradi and N. Chng and Ehsan Dehghan and William J. Morris and Gabor Fichtinger and Septimiu E. Salcudean},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Lobo2011a.pdf},
year = {2011},
date = {2011-09-01},
urldate = {2011-09-01},
booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011)},
volume = {6891},
pages = {307-314},
address = {Toronto, ON, Canada},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Dehghan, Ehsan; Lee, Junghoon; Fallavollita, Pascal; Kuo, Nathanael; Degeut, Anton; Burdette, E. Clif; Song, Danny Y; Prince, Jerry L.; Fichtinger, Gabor
Point-to-Volume Registration of Prostate Implants to Ultrasound Conference
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), Toronto, ON, Canada, 2011.
@conference{Dehghan2011b,
title = {Point-to-Volume Registration of Prostate Implants to Ultrasound},
author = {Ehsan Dehghan and Junghoon Lee and Pascal Fallavollita and Nathanael Kuo and Anton Degeut and E. Clif Burdette and Danny Y Song and Jerry L. Prince and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Dehghan_MICCAI11.pdf},
year = {2011},
date = {2011-09-01},
urldate = {2011-09-01},
booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011)},
pages = {615 - 622},
address = {Toronto, ON, Canada},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Dehghan, Ehsan; Jain, Ameet K; Moradi, Mehdi; Wen, Xu; Morris, W James; Salcudean, Septimiu E; Fichtinger, Gabor
Brachytherapy seed reconstruction with joint-encoded C-arm single-axis rotation and motion compensation Journal Article
In: Medical image analysis, vol. 15, iss. 5, pp. 760-771, 2011.
@article{fichtinger2011j,
title = {Brachytherapy seed reconstruction with joint-encoded C-arm single-axis rotation and motion compensation},
author = {Ehsan Dehghan and Ameet K Jain and Mehdi Moradi and Xu Wen and W James Morris and Septimiu E Salcudean and Gabor Fichtinger},
url = {https://www.sciencedirect.com/science/article/pii/S1361841511000855},
year = {2011},
date = {2011-01-01},
journal = {Medical image analysis},
volume = {15},
issue = {5},
pages = {760-771},
publisher = {Elsevier},
abstract = {C-arm fluoroscopy images are frequently used for qualitative assessment of prostate brachytherapy. Three-dimensional seed reconstruction from C-arm images is necessary for intraoperative dosimetry and quantitative assessment. Seed reconstruction requires accurately known C-arm poses. We propose to measure the C-arm rotation angles and computationally compensate for inevitable C-arm motion to compute the pose. We compensate the translational motions of a C-arm, such as oscillation, sagging and wheel motion using a three-level optimization algorithm and obviate the need for full pose tracking using external trackers or fiducials. We validated our approach on simulated and 100 clinical data sets from 10 patients and gained on average, a seed matching rate of 98.5%, projection error of 0.33mm (STD=0.21mm) and computation time of 19.8s per patient, which must be considered as clinically excellent …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
C-arm fluoroscopy images are frequently used for qualitative assessment of prostate brachytherapy. Three-dimensional seed reconstruction from C-arm images is necessary for intraoperative dosimetry and quantitative assessment. Seed reconstruction requires accurately known C-arm poses. We propose to measure the C-arm rotation angles and computationally compensate for inevitable C-arm motion to compute the pose. We compensate the translational motions of a C-arm, such as oscillation, sagging and wheel motion using a three-level optimization algorithm and obviate the need for full pose tracking using external trackers or fiducials. We validated our approach on simulated and 100 clinical data sets from 10 patients and gained on average, a seed matching rate of 98.5%, projection error of 0.33mm (STD=0.21mm) and computation time of 19.8s per patient, which must be considered as clinically excellent …
Lobo, Julio R; Moradi, Mehdi; Chng, Nick; Dehghan, Ehsan; Morris, William J; Fichtinger, Gabor; Salcudean, Septimiu E
Use of needle track detection to quantify the displacement of stranded seeds following prostate brachytherapy Journal Article
In: IEEE Transactions on Medical Imaging, vol. 31, iss. 3, pp. 738-748, 2011.
@article{fichtinger2011l,
title = {Use of needle track detection to quantify the displacement of stranded seeds following prostate brachytherapy},
author = {Julio R Lobo and Mehdi Moradi and Nick Chng and Ehsan Dehghan and William J Morris and Gabor Fichtinger and Septimiu E Salcudean},
url = {https://ieeexplore.ieee.org/abstract/document/6095633/},
year = {2011},
date = {2011-01-01},
journal = {IEEE Transactions on Medical Imaging},
volume = {31},
issue = {3},
pages = {738-748},
publisher = {IEEE},
abstract = {We aim to compute the movement of permanent stranded implant brachytherapy radioactive sources (seeds) in the prostate from the planned seed distribution to the intraoperative fluoroscopic distribution, and then to the postimplant computed tomography (CT) distribution. We present a novel approach to matching the seeds in these distributions to the plan by grouping the seeds into needle tracks. First, we identify the implantation axis using a sample consensus algorithm. Then, we use a network flow algorithm to group seeds into their needle tracks. Finally, we match the needles from the three stages using both their transverse plane location and the number of seeds per needle. We validated our approach on eight clinical prostate brachytherapy cases, having a total of 871 brachytherapy seeds distributed in 193 needles. For the intraoperative and postimplant data, 99.31% and 99.41% of the seeds were correctly …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
We aim to compute the movement of permanent stranded implant brachytherapy radioactive sources (seeds) in the prostate from the planned seed distribution to the intraoperative fluoroscopic distribution, and then to the postimplant computed tomography (CT) distribution. We present a novel approach to matching the seeds in these distributions to the plan by grouping the seeds into needle tracks. First, we identify the implantation axis using a sample consensus algorithm. Then, we use a network flow algorithm to group seeds into their needle tracks. Finally, we match the needles from the three stages using both their transverse plane location and the number of seeds per needle. We validated our approach on eight clinical prostate brachytherapy cases, having a total of 871 brachytherapy seeds distributed in 193 needles. For the intraoperative and postimplant data, 99.31% and 99.41% of the seeds were correctly …
Dehghan, Ehsan; Moradi, Mehdi; Wen, Xu; French, Danny; Lobo, Julio; Morris, W James; Salcudean, Septimiu E; Fichtinger, Gabor
Prostate implant reconstruction from C‐arm images with motion‐compensated tomosynthesis Journal Article
In: Medical Physics, vol. 38, iss. 10, pp. 5290-5302, 2011.
@article{fichtinger2011t,
title = {Prostate implant reconstruction from C‐arm images with motion‐compensated tomosynthesis},
author = {Ehsan Dehghan and Mehdi Moradi and Xu Wen and Danny French and Julio Lobo and W James Morris and Septimiu E Salcudean and Gabor Fichtinger},
url = {https://aapm.onlinelibrary.wiley.com/doi/abs/10.1118/1.3633897},
year = {2011},
date = {2011-01-01},
journal = {Medical Physics},
volume = {38},
issue = {10},
pages = {5290-5302},
publisher = {American Association of Physicists in Medicine},
abstract = {Purpose
Accurate localization of prostate implants from several C‐arm images is necessary for ultrasound‐fluoroscopy fusion and intraoperative dosimetry. The authors propose a computational motion compensation method for tomosynthesis‐based reconstruction that enables 3D localization of prostate implants from C‐arm images despite C‐arm oscillation and sagging.
Methods
Five C‐arm images are captured by rotating the C‐arm around its primary axis, while measuring its rotation angle using a protractor or the C‐arm joint encoder. The C‐arm images are processed to obtain binary seed‐only images from which a volume of interest is reconstructed. The motion compensation algorithm, iteratively, compensates for 2D translational motion of the C‐arm by maximizing the number of voxels that project on a seed projection in all of the images. This obviates the need for C‐arm full pose tracking traditionally …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Purpose
Accurate localization of prostate implants from several C‐arm images is necessary for ultrasound‐fluoroscopy fusion and intraoperative dosimetry. The authors propose a computational motion compensation method for tomosynthesis‐based reconstruction that enables 3D localization of prostate implants from C‐arm images despite C‐arm oscillation and sagging.
Methods
Five C‐arm images are captured by rotating the C‐arm around its primary axis, while measuring its rotation angle using a protractor or the C‐arm joint encoder. The C‐arm images are processed to obtain binary seed‐only images from which a volume of interest is reconstructed. The motion compensation algorithm, iteratively, compensates for 2D translational motion of the C‐arm by maximizing the number of voxels that project on a seed projection in all of the images. This obviates the need for C‐arm full pose tracking traditionally …
Accurate localization of prostate implants from several C‐arm images is necessary for ultrasound‐fluoroscopy fusion and intraoperative dosimetry. The authors propose a computational motion compensation method for tomosynthesis‐based reconstruction that enables 3D localization of prostate implants from C‐arm images despite C‐arm oscillation and sagging.
Methods
Five C‐arm images are captured by rotating the C‐arm around its primary axis, while measuring its rotation angle using a protractor or the C‐arm joint encoder. The C‐arm images are processed to obtain binary seed‐only images from which a volume of interest is reconstructed. The motion compensation algorithm, iteratively, compensates for 2D translational motion of the C‐arm by maximizing the number of voxels that project on a seed projection in all of the images. This obviates the need for C‐arm full pose tracking traditionally …
Dehghan, Ehsan; Lee, Junghoon; Fallavollita, Pascal; Kuo, Nathanael; Deguet, Anton; Burdette, E Clif; Song, Danny; Prince, Jerry L; Fichtinger, Gabor
Point-to-volume registration of prostate implants to ultrasound Journal Article
In: pp. 615-622, 2011.
@article{fichtinger2011v,
title = {Point-to-volume registration of prostate implants to ultrasound},
author = {Ehsan Dehghan and Junghoon Lee and Pascal Fallavollita and Nathanael Kuo and Anton Deguet and E Clif Burdette and Danny Song and Jerry L Prince and Gabor Fichtinger},
url = {https://link.springer.com/chapter/10.1007/978-3-642-23629-7_75},
year = {2011},
date = {2011-01-01},
pages = {615-622},
publisher = {Springer Berlin Heidelberg},
abstract = {Ultrasound-Fluoroscopy fusion is a key step toward intra-operative dosimetry for prostate brachytherapy. We propose a method for intensity-based registration of fluoroscopy to ultrasound that obviates the need for seed segmentation required for seed-based registration. We employ image thresholding and morphological and Gaussian filtering to enhance the image intensity distribution of ultrasound volume. Finally, we find the registration parameters by maximizing a point-to-volume similarity metric. We conducted an experiment on a ground truth phantom and achieved registration error of 0.7±0.2mm. Our clinical results on 5 patient data sets show excellent visual agreement between the registered seeds and the ultrasound volume with a seed-to-seed registration error of 1.8±0.9mm. With low registration error, high computational speed and no need for manual seed segmentation, our method is promising …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ultrasound-Fluoroscopy fusion is a key step toward intra-operative dosimetry for prostate brachytherapy. We propose a method for intensity-based registration of fluoroscopy to ultrasound that obviates the need for seed segmentation required for seed-based registration. We employ image thresholding and morphological and Gaussian filtering to enhance the image intensity distribution of ultrasound volume. Finally, we find the registration parameters by maximizing a point-to-volume similarity metric. We conducted an experiment on a ground truth phantom and achieved registration error of 0.7±0.2mm. Our clinical results on 5 patient data sets show excellent visual agreement between the registered seeds and the ultrasound volume with a seed-to-seed registration error of 1.8±0.9mm. With low registration error, high computational speed and no need for manual seed segmentation, our method is promising …
Reiser, I; Lee, S; Nishikawa, RM; Zaidi, Habib; Guerra, Alberto Del; Richter, Anne; Wilbert, Jürgen; Flentje, Michael; Dehghan, Ehsan; Moradi, Mehdi; Wen, Xu; French, Danny; Lobo, Julio; Morris, W James; Salcudean, Septimiu E; Fichtinger, Gabor; Enger, Shirin A; D’Amours, Michel; Beaulieu, Luc
POINT/COUNTERPOINT Journal Article
In: Medical Physics, vol. 38, iss. 10, 2011.
@article{fichtinger2011y,
title = {POINT/COUNTERPOINT},
author = {I Reiser and S Lee and RM Nishikawa and Habib Zaidi and Alberto Del Guerra and Anne Richter and Jürgen Wilbert and Michael Flentje and Ehsan Dehghan and Mehdi Moradi and Xu Wen and Danny French and Julio Lobo and W James Morris and Septimiu E Salcudean and Gabor Fichtinger and Shirin A Enger and Michel D’Amours and Luc Beaulieu},
url = {https://scholar.google.com/scholar?cluster=15463453914223911761&hl=en&oi=scholarr},
year = {2011},
date = {2011-01-01},
journal = {Medical Physics},
volume = {38},
issue = {10},
abstract = {Medical Physics (ISSN: 0094-2405) is published monthly by the AAPM through the American Institute of Physics. 2011 subscription rates are: US $1197. POSTMASTER: Send address changes to MedicalPhysics, AIP, Suite 1NO1, 2 Huntington Quadrangle, Melville, NY 11747-4502. Periodicals postage paid at Huntington Station, NY and additional mailing offices. Membership in the American Association of Physicists in Medicine includes $40.00 from member ship dues to be applied towards a subscription to Medical Physics.},
keywords = {},
pubstate = {published},
tppubtype = {article}
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Medical Physics (ISSN: 0094-2405) is published monthly by the AAPM through the American Institute of Physics. 2011 subscription rates are: US $1197. POSTMASTER: Send address changes to MedicalPhysics, AIP, Suite 1NO1, 2 Huntington Quadrangle, Melville, NY 11747-4502. Periodicals postage paid at Huntington Station, NY and additional mailing offices. Membership in the American Association of Physicists in Medicine includes $40.00 from member ship dues to be applied towards a subscription to Medical Physics.
Dehghan, Ehsan; Lee, Junghoon; Moradi, Mehdi; Wen, Xu; Fichtinger, Gabor; Salcudean, Septimiu E.
Prostate Brachytherapy Seed Reconstruction using C-Arm Rotation Measurement and Motion Compensation Conference
Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2010, Springer Springer, Beijing, China, 2010, ISBN: 978-3-642-15704-2.
@conference{Dehghan2010a,
title = {Prostate Brachytherapy Seed Reconstruction using C-Arm Rotation Measurement and Motion Compensation},
author = {Ehsan Dehghan and Junghoon Lee and Mehdi Moradi and Xu Wen and Gabor Fichtinger and Septimiu E. Salcudean},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Dehghan2010a.pdf},
doi = {http://dx.doi.org/10.1007/978-3-642-15705-9_35},
isbn = {978-3-642-15704-2},
year = {2010},
date = {2010-01-01},
urldate = {2010-01-01},
booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2010},
pages = {283-290},
publisher = {Springer},
address = {Beijing, China},
organization = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Gordon, Lauren; Dehghan, Ehsan; Salcudean, Septimiu E.; Fichtinger, Gabor
Reconstruction of Needle Tracts from Fluoroscopy in Prostate Brachytherapy Conference
22nd International Conference of the Society for Medical Innovation and Technology (SMIT), Trondheim, Norway, September 2-4, 2010, 2010.
@conference{Gordon2010a,
title = {Reconstruction of Needle Tracts from Fluoroscopy in Prostate Brachytherapy},
author = {Lauren Gordon and Ehsan Dehghan and Septimiu E. Salcudean and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Gordon2010a.pdf},
year = {2010},
date = {2010-01-01},
urldate = {2010-01-01},
booktitle = {22nd International Conference of the Society for Medical Innovation and Technology (SMIT)},
address = {Trondheim, Norway, September 2-4, 2010},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Dehghan, Ehsan; Lee, Junghoon; Moradi, Mehdi; Wen, Xu; Fichtinger, Gabor; Salcudean, Septimiu E
Prostate brachytherapy seed reconstruction using C-arm rotation measurement and motion compensation Journal Article
In: pp. 283-290, 2010.
@article{fichtinger2010t,
title = {Prostate brachytherapy seed reconstruction using C-arm rotation measurement and motion compensation},
author = {Ehsan Dehghan and Junghoon Lee and Mehdi Moradi and Xu Wen and Gabor Fichtinger and Septimiu E Salcudean},
url = {https://link.springer.com/chapter/10.1007/978-3-642-15705-9_35},
year = {2010},
date = {2010-01-01},
pages = {283-290},
publisher = {Springer Berlin Heidelberg},
abstract = {During prostate brachytherapy, C-arm flouroscopy images are used for a qualitative assessment of the procedure. Three dimensional reconstruction of the implanted seeds can be used for intraoperative dosimetry and quantitative assessment. Accurate C-arm pose estimation is necessary for 3D localization of the seeds. We propose to measure the C-arm rotation angles and computationally compensate the inevitable C-arm translational motion to estimate the pose. We compensate the oscillation, sagging and wheel motion of the C-arm using a three-level optimization algorithm, without which the reconstruction can fail. We validated our approach on simulated and 10 data sets from 5 patients and gained on average 99.1% success rate, 0.33 mm projection error and computation time of less than one minute per patient, which are clinically excellent results.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
During prostate brachytherapy, C-arm flouroscopy images are used for a qualitative assessment of the procedure. Three dimensional reconstruction of the implanted seeds can be used for intraoperative dosimetry and quantitative assessment. Accurate C-arm pose estimation is necessary for 3D localization of the seeds. We propose to measure the C-arm rotation angles and computationally compensate the inevitable C-arm translational motion to estimate the pose. We compensate the oscillation, sagging and wheel motion of the C-arm using a three-level optimization algorithm, without which the reconstruction can fail. We validated our approach on simulated and 10 data sets from 5 patients and gained on average 99.1% success rate, 0.33 mm projection error and computation time of less than one minute per patient, which are clinically excellent results.