Yiming Xiao1,2, Live Eikenes3, Ingerid Reinertsen4,5, Hassan Rivaz6,7. 1. PERFORM Centre, Concordia University, Rm 2.211, 7200 Sherbrooke St. W., Montreal, QC, H4B 1R6, Canada. yiming.xiao@concordia.ca. 2. Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada. yiming.xiao@concordia.ca. 3. Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway. 4. Department of Medical Technology, SINTEF, Trondheim, Norway. 5. Norwegian National Advisory Unit for Ultrasound and Image-Guided Therapy, St. Olavs University Hospital, Trondheim, Norway. 6. PERFORM Centre, Concordia University, Rm 2.211, 7200 Sherbrooke St. W., Montreal, QC, H4B 1R6, Canada. 7. Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada.
Abstract
PURPOSE: In brain tumor surgeries, maximum removal of cancerous tissue without compromising normal brain functions can improve the patient's survival rate and therapeutic benefits. To achieve this, diffusion MRI and intra-operative ultrasound (iUS) can be highly instrumental. While diffusion MRI allows the visualization of white matter tracts and helps define the resection plan to best preserve the eloquent areas, iUS can effectively track the brain shift after craniotomy that often renders the pre-surgical plan invalid, ensuring the accuracy and safety of the intervention. Unfortunately, brain shift correction using iUS and automatic registration has never been shown for brain tractography so far despite its rising significance in brain tumor resection. METHODS: We employed a correlation-ratio-based nonlinear registration algorithm to account for brain shift through MRI-iUS registration and used the recovered deformations to warp both the brain anatomy and tractography seen in pre-surgical plans. The overall technique was demonstrated retrospectively on four patients who underwent iUS-guided low-grade brain gliomas resection. RESULTS: Through qualitative and quantitative evaluations, the preoperative MRI and iUS scans were well realigned after nonlinear registration, and the deformed brain tumor volumes and white matter tracts showed large displacements away from the pre-surgical plans. CONCLUSIONS: We are the first to demonstrate the technique to track nonlinear deformation of brain tractography using real clinical MRI and iUS data, and the results confirm the need for updating white matter tracts due to tissue shift during surgery.
PURPOSE: In brain tumor surgeries, maximum removal of cancerous tissue without compromising normal brain functions can improve the patient's survival rate and therapeutic benefits. To achieve this, diffusion MRI and intra-operative ultrasound (iUS) can be highly instrumental. While diffusion MRI allows the visualization of white matter tracts and helps define the resection plan to best preserve the eloquent areas, iUS can effectively track the brain shift after craniotomy that often renders the pre-surgical plan invalid, ensuring the accuracy and safety of the intervention. Unfortunately, brain shift correction using iUS and automatic registration has never been shown for brain tractography so far despite its rising significance in brain tumor resection. METHODS: We employed a correlation-ratio-based nonlinear registration algorithm to account for brain shift through MRI-iUS registration and used the recovered deformations to warp both the brain anatomy and tractography seen in pre-surgical plans. The overall technique was demonstrated retrospectively on four patients who underwent iUS-guided low-grade brain gliomas resection. RESULTS: Through qualitative and quantitative evaluations, the preoperative MRI and iUS scans were well realigned after nonlinear registration, and the deformed brain tumor volumes and white matter tracts showed large displacements away from the pre-surgical plans. CONCLUSIONS: We are the first to demonstrate the technique to track nonlinear deformation of brain tractography using real clinical MRI and iUS data, and the results confirm the need for updating white matter tracts due to tissue shift during surgery.
Authors: David S Tuch; Timothy G Reese; Mette R Wiegell; Nikos Makris; John W Belliveau; Van J Wedeen Journal: Magn Reson Med Date: 2002-10 Impact factor: 4.668
Authors: Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews Journal: Neuroimage Date: 2004 Impact factor: 6.556
Authors: Yiming Xiao; Hassan Rivaz; Matthieu Chabanas; Maryse Fortin; Ines Machado; Yangming Ou; Mattias P Heinrich; Julia A Schnabel; Xia Zhong; Andreas Maier; Wolfgang Wein; Roozbeh Shams; Samuel Kadoury; David Drobny; Marc Modat; Ingerid Reinertsen Journal: IEEE Trans Med Imaging Date: 2019-08-13 Impact factor: 10.048