Author : Silvain Bériault
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (99 download)
Book Synopsis Computer-assisted Neuronavigation for Deep Brain Stimulation Using Susceptibility-weighted Imaging by : Silvain Bériault
Download or read book Computer-assisted Neuronavigation for Deep Brain Stimulation Using Susceptibility-weighted Imaging written by Silvain Bériault and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This thesis describes a novel computer-assisted method for planning deep brain stimulation surgery. The technique combines the use of multiple MRI contrasts - T1- weighted anatomy, susceptibility-weighted venography and time-of-flight angiography (T1w-SWI-TOF) - and automated risk assessment for planning probe trajectories that avoid key structures including fine vessels that cannot be detected using a standard gadolinium-enhanced contrast MRI protocol.The first aim of this thesis is to simplify the use of multi-contrast T1w-SWI-TOF protocol with the creation of a novel path-planning algorithm that can automatically analyze, within few seconds, thousands of candidate trajectories from brain surface to subthalamic nuclei. This study demonstrates the high aggregative power of the automatic algorithm for simultaneously optimizing multiple surgical constraints and evaluates feasibility of the computed trajectories based on neurosurgeons' feedback. The second aim is to assess the clinical validity of the T1w-SWI-TOF protocol for deep brain stimulation purposes. Results show that trajectories planned by neurosurgeons using T1w-SWI-TOF do not intersect the vasculature visible on standard gadolinium-enhanced T1w MRI. This study also demonstrates that computer-assisted T1w-SWI-TOF path planning can significantly improve the avoidance of finer vessels, comes with minimal effects on the imaging and surgical workflow, and provides a safe cost-effective alternative to injection of gadolinium contrast. The third aim is to improve the segmentation and visualization of the dense vasculature obtained with susceptibility- weighted venography. A new method based on Conditional Random Field (CRF) theory is presented and combines different potentials: appearance, shape, location and data- dependent interaction. Results show that the proposed CRF model yields consistent segmentation of deep and sub-cortical veins, and significantly improves segmentation of superficial veins, which is critical for minimizing risks of post-operative deficits.Overall, this thesis addresses key methodological challenges that will facilitate the application of susceptibility-weighted venography contrast in deep brain stimulation neurosurgery. The computer-assisted planning framework is currently being evaluated prospectively on a small cohort of patients. New extensions to the framework are also being investigated for computer-assisted targeting with multiple active contacts." --