LCSR Seminar – Samuel Kadoury: Optical shape sensing for device tracking in MR-guided interventions

February 22, 2017 @ 12:00 pm – 1:00 pm
B17 Hackerman Hall
Iulian Iordachita


Image-guided interventional systems rely on accurate device tracking technologies, such as optical or electromagnetic (EM) systems to navigate tools with high resolution diagnostic imaging modalities, such as CT/MRI/PET and facilitate the targeting of specific tissue within the body. However for MR-guided procedures such as Magnetic Resonance Navigation (MRN) which exploits the high magnetic field of an MRI scanner to steer magnetic nanoparticles embedded in drug-eluting beads (DEB), traditional tracking methods are not suitable to visualize catheters inside the patient’s vascular network.  This talk will focus on the development of optical shape sensing devices which overcome the limitations associated with these past approaches with the ability to be integrated into sub-millimeter size tools. We present two MR-compatible solutions, using distributed fiber Bragg gratings (FBG) sensors and ultraviolet curing for optical frequency domain reflectometry (OFDR) measuring strain applied to a fiber triplet inserted in a tool and reconstruct the 3D shape during navigation. Recent phantom and ex-vivo experiments compare the accuracy to EM tracking and demonstrate the insensitivity towards external magnetic fields, illustrating the potential of these approaches for image guidance.


Samuel Kadoury is an associate professor in the Computer and Software Engineering Department at Polytechnique Montreal, member of the Biomedical Engineering Institute at the University of Montreal and researcher at the CHUM Research Center. He currently holds the Canada Research Chair in Medical Imaging and Assisted Interventions at Polytechnique Montreal. He obtained his Masters in Electrical Engineering from McGill University in 2005. After a one-year period at Siemens Corporate Research in Princeton, NJ, he returned to Montreal to complete his Ph.D. in biomedical engineering, focusing on orthopaedic imaging.  He completed a post-doctoral fellowship at Ecole Centrale de Paris and worked as a clinical research scientist for Philips Research North America at the National Institutes of Health in Bethesda, MD from 2010 to 2012, developing image-guided systems for liver and prostate cancer. Prof. Kadoury has published over 100 peer-reviewed papers in leading journals and conferences in fields such as biomedical imaging, computer vision, radiology and neuroimaging. He holds 5 US patents in the field of image-guided interventions, has participated in the technological transfer of multiple research projects to commercial products, and was awarded the NIH merit award for his work on prostate cancer, as well as the Cum Laude Award from the RSNA for his work in artificial intelligence for liver cancer detection.

Laboratory for Computational Sensing + Robotics