@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}

}

@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},

pages = {1347-1358},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fichtinger0000u,

title = {Wenli Cai, Massachusetts General Hospital/Harvard Medical School Jon Camp, Mayo Foundation Stefan Carp, Massachusetts General Hospital JL Carrascosa, Centro Nacional de …},

author = {Til Aach and Scott Acton and François Aguet and Sangtae Ahn and Zeynep Akalin Acar and Carlos Alberola-López and Paul Aljabar and Amir Amini and Jungha An and Elsa Angelini and Esra Ataer-Cansizoglu and Keith Bartels and Rahul Bhotika and Junguo Bian and Wolfgang Birkfellner and Isabelle Bloch and ENST Johan G Bosch and Pierrick Bourgeat and Thomas Buelow and Hamburg Philippe Burlina and Herve Delingette and INRIA Silvana Dellepiane and Stefanie Demirci and Tom Denney and Michel Desvignes and Jouke Dijkstra and Synho Do and Tania Douglas and Abdel Douiri and Simon Duchesne and Alexandre Dufour and James Duncan and Deniz Erdogmus and Pascal Fallavollita and Yong Fan and Aaron Fenster and Jeff Fessler and Gabor Fichtinger and Michael Figl and Tom Fletcher},

url = {https://ieeexplore.ieee.org/abstract/document/6235938/},

year  = {2012},

date = {2012-01-01},

abstract = {The conference offers a note of thanks and lists its reviewers.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fichtinger2011s,

title = {Automatic C-arm pose estimation via 2D/3D hybrid registration of a radiographic fiducial},

author = {Eric Moult and Everette Clif Burdette and Daniel Y Song and Purang Abolmaesumi and Gabor Fichtinger and Pascal Fallavollita},

url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/7964/79642S/Automatic-C-arm-pose-estimation-via-2D-3D-hybrid-registration/10.1117/12.877713.short},

year  = {2011},

date = {2011-01-01},

volume = {7964},

pages = {839-846},

publisher = {SPIE},

abstract = {Motivation 

In prostate brachytherapy, real-time dosimetry would be ideal to allow for rapid evaluation of the implant quality intra-operatively. However, such a mechanism requires an imaging system that is both real-time and which provides, via multiple C-arm fluoroscopy images, clear information describing the three-dimensional position of the seeds deposited within the prostate. Thus, accurate tracking of the C-arm poses proves to be of critical importance to the process. 

Methodology 

We compute the pose of the C-arm relative to a stationary radiographic fiducial of known geometry by employing a hybrid registration framework. Firstly, by means of an ellipse segmentation algorithm and a 2D/3D feature based registration, we exploit known FTRAC geometry to recover an initial estimate of the C-arm pose. Using this estimate, we then initialize the intensity-based registration which serves to recover a refined and …},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@article{Fallavollita2010c,

title = {Registration Between Ultrasound and Fluoroscopy or CT in Prostate Brachytherapy},

author = {Pascal Fallavollita and Zahra Karim-Aghaloo and E. Clif Burdette and Danny Y Song and Purang Abolmaesumi and Gabor Fichtinger},

url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Fallavollita2010c.pdf},

year  = {2010},

date = {2010-01-01},

urldate = {2010-01-01},

journal = {Medical Physics},

volume = {37},

pages = {2749-2760},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fichtinger2010v,

title = {C-arm pose estimation in prostate brachytherapy by registration to ultrasound},

author = {Pascal Fallavollita and Clif Burdette and Danny Song and Purang Abolmaesumi and Gabor Fichtinger},

url = {https://link.springer.com/chapter/10.1007/978-3-642-15711-0_39},

year  = {2010},

date = {2010-01-01},

pages = {311-318},

publisher = {Springer Berlin Heidelberg},

abstract = {In prostate brachytherapy, transrectal ultrasound (TRUS) is used to visualize the anatomy, while implanted seeds can be seen in C-arm fluoroscopy. Intra-operative dosimetry optimization requires reconstruction of the implanted seeds from multiple C-arm fluoroscopy images, which in turn requires estimation of the C-arm poses. We estimate the pose of the C-arm by two-stage registration between the 2D fluoroscopy images to a 3D TRUS volume. As single-view 2D/3D registration tends to yield depth error, we first estimate the depth from multiple 2D fluoro images and input this to a single-view 2D/3D registration. A commercial phantom was implanted with seeds and imaged with TRUS and CT. Ground-truth registration was established between the two by radiographic fiducials. Synthetic ground-truth fluoro images were created from the CT volume and registered to the 3D TRUS. The average rotation and …},

keywords = {},

pubstate = {published},

tppubtype = {article}

}