Aidan Baksh
Visiting Researcher
School of Computing
Queen’s University
Member from 2015 to 2016
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}
}