Aidan Baksh
Visitor Researcher
School of Computing
Queen's University
Summer high school intern working at the Perk Lab from July 2015 to August 2016.
Harish, Vinyas; Baksh, A; Ungi, Tamas; Lasso, Andras; Baum, Zachary M C; Gauvin, G; Engel, C. Jay; Rudan, John; Fichtinger, Gabor
Measurement of electromagnetic tracking error in a navigated breast surgery setup Conference
SPIE Medical Imaging 2016, vol. 9786, SPIE Medical Imaging SPIE Medical Imaging, San Diego, CA, United States, Feb. 29, 2016, 2016.
@conference{Harish2016a,
title = {Measurement of electromagnetic tracking error in a navigated breast surgery setup},
author = {Vinyas Harish and A Baksh and Tamas Ungi and Andras Lasso and Zachary M C Baum and G Gauvin and C. Jay Engel and John Rudan and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Harish2016a.pdf},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
booktitle = {SPIE Medical Imaging 2016},
volume = {9786},
publisher = {SPIE Medical Imaging},
address = {San Diego, CA, United States, Feb. 29, 2016},
organization = {SPIE Medical Imaging},
abstract = {<p>The measurement of tracking error is crucial to ensure the safety and feasibility of electromagnetically tracked, image-guided procedures. Measurement should occur in a clinical environment because electromagnetic field distortion depends on positioning relative to the field generator and metal objects. However, we could not find an accessible and open-source system for calibration, error measurement, and visualization. We developed such a system and tested it in a navigated breast surgery setup.A pointer tool was designed for concurrent electromagnetic and optical tracking. Software modules were developed for automatic calibration of the measurement system, real-time error visualization, and analysis. The system was taken to an operating room to test for field distortion in a navigated breast surgery setup. Positional and rotational electromagnetic tracking errors were then calculated using optical tracking as a ground truth. Our system is quick to set up and can be rapidly deployed. The process from calibration to visualization also only takes a few minutes. Field distortion was measured in the presence of various surgical equipment. Positional and rotational error in a clean field was approximately 0.90 mm and 0.31°. The presence of a surgical table, an electrosurgical cautery, and anesthesia machine increased the error by up to a few tenths of a millimetre and tenth of a degree.In a navigated breast surgery setup, measurement and visualization of tracking error defines a safe working area in the presence of surgical equipment. Our system is available as an extension for the open-source 3D Slicer platform.</p>},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
<p>The measurement of tracking error is crucial to ensure the safety and feasibility of electromagnetically tracked, image-guided procedures. Measurement should occur in a clinical environment because electromagnetic field distortion depends on positioning relative to the field generator and metal objects. However, we could not find an accessible and open-source system for calibration, error measurement, and visualization. We developed such a system and tested it in a navigated breast surgery setup.A pointer tool was designed for concurrent electromagnetic and optical tracking. Software modules were developed for automatic calibration of the measurement system, real-time error visualization, and analysis. The system was taken to an operating room to test for field distortion in a navigated breast surgery setup. Positional and rotational electromagnetic tracking errors were then calculated using optical tracking as a ground truth. Our system is quick to set up and can be rapidly deployed. The process from calibration to visualization also only takes a few minutes. Field distortion was measured in the presence of various surgical equipment. Positional and rotational error in a clean field was approximately 0.90 mm and 0.31°. The presence of a surgical table, an electrosurgical cautery, and anesthesia machine increased the error by up to a few tenths of a millimetre and tenth of a degree.In a navigated breast surgery setup, measurement and visualization of tracking error defines a safe working area in the presence of surgical equipment. Our system is available as an extension for the open-source 3D Slicer platform.</p>
Baksh, A; Harish, Vinyas; Ungi, Tamas; Pal, R; Fichtinger, Gabor
An inexpensive system for competency-based pericardiocentesis training Conference
14th Annual Imaging Network Ontario Symposium (ImNO), Imaging Network Ontario (ImNO), Toronto, Canada, 2016.
@conference{Baksh2016a,
title = {An inexpensive system for competency-based pericardiocentesis training},
author = {A Baksh and Vinyas Harish and Tamas Ungi and R Pal and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Baksh2016a.pdf},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
booktitle = {14th Annual Imaging Network Ontario Symposium (ImNO)},
publisher = {Imaging Network Ontario (ImNO)},
address = {Toronto, Canada},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Harish, Vinyas; Baksh, A; Ungi, Tamas; Pal, R; Fichtinger, Gabor
A low-cost system for image-guided computer-navigated pericardiocentesis training Conference
30th International Congress & Exhibition on Computer Assisted Radiology and Surgery (CARS), vol. Int J CARS (2016) 11 (Suppl 1), CARS, Heidelberg, Germany, 2016.
@conference{Harish2016b,
title = {A low-cost system for image-guided computer-navigated pericardiocentesis training},
author = {Vinyas Harish and A Baksh and Tamas Ungi and R Pal and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Harish2016b.pdf},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
booktitle = {30th International Congress & Exhibition on Computer Assisted Radiology and Surgery (CARS)},
volume = {Int J CARS (2016) 11 (Suppl 1)},
pages = {S112},
publisher = {CARS},
address = {Heidelberg, Germany},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Harish, Vinyas; Baksh, A; Ungi, Tamas; Lasso, Andras; Baum, Zachary M C; Gauvin, G; Engel, C. Jay; Rudan, John; Fichtinger, Gabor
Monitoring electromagnetic tracking error in computer-navigated breast cancer surgery Conference
14th Annual Imaging Network Ontario Symposium (ImNO), Imaging Network Ontario (ImNO), Toronto, Canada, 2016.
@conference{Harish2016c,
title = {Monitoring electromagnetic tracking error in computer-navigated breast cancer surgery},
author = {Vinyas Harish and A Baksh and Tamas Ungi and Andras Lasso and Zachary M C Baum and G Gauvin and C. Jay Engel and John Rudan and Gabor Fichtinger},
url = {https://labs.cs.queensu.ca/perklab/wp-content/uploads/sites/3/2024/02/Harish2016c.pdf},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
booktitle = {14th Annual Imaging Network Ontario Symposium (ImNO)},
publisher = {Imaging Network Ontario (ImNO)},
address = {Toronto, Canada},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}