Julia Wiercigroch
Wiercigroch, Julia; Ungi, Tamas; Idriss, Ahmedou Moulaye; Tfeil, Yahya; Kikinis, Ron; Mousavi, Parvin; Fichtinger, Gabor
Ultrasound-guided needle placement system optimized for translation to Mauritania Journal Article
In: vol. 11598, pp. 239-244, 2021.
@article{fichtinger2021r,
title = {Ultrasound-guided needle placement system optimized for translation to Mauritania},
author = {Julia Wiercigroch and Tamas Ungi and Ahmedou Moulaye Idriss and Yahya Tfeil and Ron Kikinis and Parvin Mousavi and Gabor Fichtinger},
url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11598/115980X/Ultrasound-guided-needle-placement-system-optimized-for-translation-to-Mauritania/10.1117/12.2582012.short},
year = {2021},
date = {2021-01-01},
volume = {11598},
pages = {239-244},
publisher = {SPIE},
abstract = {PURPOSE
Point-of-care ultrasound image-guided therapies (POCUS IGT) transcend geographic and socioeconomic boundaries and help bringing modern therapies to underserved communities and countries. Unfortunately, current commercial systems are not feasible to deploy in Mauritania due to prohibitive costs of purchase, support, and operation. We present the development of a versatile POCUS IGT system, optimized for financial and operating conditions in Mauritania. We aimed to create a system that is functionally similar to the popular CIVCO product, but costs only a small fraction of the price due to the support of inexpensive ultrasound scanners and its use of open-source software.
METHODS
A 3D-printed plastic needle guide with multiple guide channels was designed to securely fit around the ultrasound probe, placed in a sterile cover, and fitted with a sterile guide sleeve. Open source targeting …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Point-of-care ultrasound image-guided therapies (POCUS IGT) transcend geographic and socioeconomic boundaries and help bringing modern therapies to underserved communities and countries. Unfortunately, current commercial systems are not feasible to deploy in Mauritania due to prohibitive costs of purchase, support, and operation. We present the development of a versatile POCUS IGT system, optimized for financial and operating conditions in Mauritania. We aimed to create a system that is functionally similar to the popular CIVCO product, but costs only a small fraction of the price due to the support of inexpensive ultrasound scanners and its use of open-source software.
METHODS
A 3D-printed plastic needle guide with multiple guide channels was designed to securely fit around the ultrasound probe, placed in a sterile cover, and fitted with a sterile guide sleeve. Open source targeting …
Wiercigroch, Julia; Hashtrudi-Zaad, Keyvan; Ungi, Tamas; Bisleri, Gianluigi; Fichtinger, Gabor
Force and torque feedback in endoscopic vessel harvesting Conference
Medical Imaging 2020: Image-Guided Procedures, Robotic Inverventions and Modeling, vol. 11315, SPIE SPIE, Houston, Texas, United States, 2020.
@conference{Wiercigroch2020a,
title = {Force and torque feedback in endoscopic vessel harvesting},
author = {Julia Wiercigroch and Keyvan Hashtrudi-Zaad and Tamas Ungi and Gianluigi Bisleri and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Wiercigroch2020a.pdf},
doi = {https://doi.org/10.1117/12.2550160},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {Medical Imaging 2020: Image-Guided Procedures, Robotic Inverventions and Modeling},
volume = {11315},
publisher = {SPIE},
address = {Houston, Texas, United States},
organization = {SPIE},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Wiercigroch, Julia; Baum, Zachary M C; Ungi, Tamas; Fritz, Jan; Fichtinger, Gabor
Validation of a low-cost adjustable, handheld needle guide for spine interventions Conference
SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 10951, San Diego, California, 2019.
@conference{Wiercigroch2019,
title = {Validation of a low-cost adjustable, handheld needle guide for spine interventions},
author = {Julia Wiercigroch and Zachary M C Baum and Tamas Ungi and Jan Fritz and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Wiercigroch2019a.pdf},
year = {2019},
date = {2019-03-01},
urldate = {2019-03-01},
booktitle = {SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling},
volume = {10951},
address = {San Diego, California},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Asselin, Mark; Kaufmann, Martin; Wiercigroch, Julia; Ungi, Tamas; Lasso, Andras; Rudan, John; Fichtinger, Gabor
Navigated real-time molecular analysis in the operating theatre, demonstration of concept Conference
SPIE Medical Imaging 2019, 2019.
@conference{Asselin2019a,
title = {Navigated real-time molecular analysis in the operating theatre, demonstration of concept},
author = {Mark Asselin and Martin Kaufmann and Julia Wiercigroch and Tamas Ungi and Andras Lasso and John Rudan and Gabor Fichtinger},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {SPIE Medical Imaging 2019},
abstract = {<p><strong>PURPOSE</strong>: In the operating theatre surgeons are accustomed to using spatially navigated tools in conjunction with<br />
standard clinical imaging during a procedure. This gives them a good idea where they are in the patients’ anatomy but<br />
doesn’t provide information about the type of tissue they are dissecting. In this paper we demonstrate an integrated<br />
system consisting of a spatially navigated surgical electrocautery combined with real-time molecular analysis of the<br />
dissected tissue using mass spectrometry.<br />
<strong>METHODS</strong>: Using the 3D Slicer software package, we have integrated a commercially available neurosurgical<br />
navigation system with an intra-operative mass spectrometer (colloquially referred to as the intelligent knife, or iKnife)<br />
that analyzes the charged ions in the smoke created during cauterization. We demonstrate this system using a simulated<br />
patient comprised of an MRI scan from a brain cancer patient deformably registered to a plastic skull model. On the<br />
skull model we placed porcine and bovine tissues to simulate cancerous and healthy tissue, respectively. We built a<br />
PCA/LDA model to distinguish between these tissue types. The tissue classifications were displayed in a spatially<br />
localized manner in the pre-operative imaging, in both 2D and 3D views.<br />
<strong>RESULTS</strong>: We have demonstrated the feasibility of performing spatially navigated intra-operative analysis of tissues by<br />
mass spectrometry. We show that machine learning can classify our sample tissues, with an average computed<br />
confidence of 99.37 % for porcine tissue and 99.36% for bovine tissue.<br />
<strong>CONCLUSION</strong>: In this paper we demonstrate a proof of concept system for navigated intra-operative molecular<br />
analysis. This system may enable intra-operative awareness of spatially localized tissue classification during dissection,<br />
information that is especially useful in tumor surgeries where margins may not be visible to the unassisted eye.<br />
<strong>Keywords</strong>: image guided therapy, intra-operative mass spectrometry, iKnife, 3D Slicer, open-source, rapid evaporative<br />
ionization mass spectrometry (REIMS)</p>},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
standard clinical imaging during a procedure. This gives them a good idea where they are in the patients’ anatomy but<br />
doesn’t provide information about the type of tissue they are dissecting. In this paper we demonstrate an integrated<br />
system consisting of a spatially navigated surgical electrocautery combined with real-time molecular analysis of the<br />
dissected tissue using mass spectrometry.<br />
<strong>METHODS</strong>: Using the 3D Slicer software package, we have integrated a commercially available neurosurgical<br />
navigation system with an intra-operative mass spectrometer (colloquially referred to as the intelligent knife, or iKnife)<br />
that analyzes the charged ions in the smoke created during cauterization. We demonstrate this system using a simulated<br />
patient comprised of an MRI scan from a brain cancer patient deformably registered to a plastic skull model. On the<br />
skull model we placed porcine and bovine tissues to simulate cancerous and healthy tissue, respectively. We built a<br />
PCA/LDA model to distinguish between these tissue types. The tissue classifications were displayed in a spatially<br />
localized manner in the pre-operative imaging, in both 2D and 3D views.<br />
<strong>RESULTS</strong>: We have demonstrated the feasibility of performing spatially navigated intra-operative analysis of tissues by<br />
mass spectrometry. We show that machine learning can classify our sample tissues, with an average computed<br />
confidence of 99.37 % for porcine tissue and 99.36% for bovine tissue.<br />
<strong>CONCLUSION</strong>: In this paper we demonstrate a proof of concept system for navigated intra-operative molecular<br />
analysis. This system may enable intra-operative awareness of spatially localized tissue classification during dissection,<br />
information that is especially useful in tumor surgeries where margins may not be visible to the unassisted eye.<br />
<strong>Keywords</strong>: image guided therapy, intra-operative mass spectrometry, iKnife, 3D Slicer, open-source, rapid evaporative<br />
ionization mass spectrometry (REIMS)</p>
Asselin, Mark; Kaufmann, Martin; Wiercigroch, Julia; Ungi, Tamas; Lasso, Andras; Rudan, John; Fichtinger, Gabor
Navigated real-time molecular analysis in the operating theatre: demonstration of concept Journal Article
In: vol. 10951, pp. 618-624, 2019.
@article{fichtinger2019h,
title = {Navigated real-time molecular analysis in the operating theatre: demonstration of concept},
author = {Mark Asselin and Martin Kaufmann and Julia Wiercigroch and Tamas Ungi and Andras Lasso and John Rudan and Gabor Fichtinger},
url = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10951/109512C/Navigated-real-time-molecular-analysis-in-the-operating-theatre/10.1117/12.2512586.short},
year = {2019},
date = {2019-01-01},
volume = {10951},
pages = {618-624},
publisher = {SPIE},
abstract = {PURPOSE
In the operating theatre surgeons are accustomed to using spatially navigated tools in conjunction with standard clinical imaging during a procedure. This gives them a good idea where they are in the patients’ anatomy but doesn’t provide information about the type of tissue they are dissecting. In this paper we demonstrate an integrated system consisting of a spatially navigated surgical electrocautery combined with real-time molecular analysis of the dissected tissue using mass spectrometry.
METHODS
Using the 3D Slicer software package, we have integrated a commercially available neurosurgical navigation system with an intra-operative mass spectrometer (colloquially referred to as the intelligent knife, or iKnife) that analyzes the charged ions in the smoke created during cauterization. We demonstrate this system using a simulated patient comprised of an MRI scan from a brain cancer patient …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In the operating theatre surgeons are accustomed to using spatially navigated tools in conjunction with standard clinical imaging during a procedure. This gives them a good idea where they are in the patients’ anatomy but doesn’t provide information about the type of tissue they are dissecting. In this paper we demonstrate an integrated system consisting of a spatially navigated surgical electrocautery combined with real-time molecular analysis of the dissected tissue using mass spectrometry.
METHODS
Using the 3D Slicer software package, we have integrated a commercially available neurosurgical navigation system with an intra-operative mass spectrometer (colloquially referred to as the intelligent knife, or iKnife) that analyzes the charged ions in the smoke created during cauterization. We demonstrate this system using a simulated patient comprised of an MRI scan from a brain cancer patient …