| Automatic trajectory planning of DBS neurosurgery from multi-modal MRI datasets. | |
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MedLine Citation:
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PMID: 22003625 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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We propose an automated method for preoperative trajectory planning of deep brain stimulation image-guided neurosurgery. Our framework integrates multi-modal MRI analysis (T1w, SWI, TOF-MRA) to determine an optimal trajectory to DBS targets (subthalamic nuclei and globus pallidus interna) while avoiding critical brain structures for prevention of hemorrhages, loss of function and other complications. Results show that our method is well suited to aggregate many surgical constraints and allows the analysis of thousands of trajectories in less than 1/10th of the time for manual planning. Finally, a qualitative evaluation of computed trajectories resulted in the identification of potential new constraints, which are not addressed in the current literature, to better mimic the decision-making of the neurosurgeon during DBS planning. |
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Authors:
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Silvain Bériault; Fahd Al Subaie; Kelvin Mok; Abbas F Sadikot; G Bruce Pike |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Volume: 14 ISSN: - ISO Abbreviation: Med Image Comput Comput Assist Interv Publication Date: 2011 |
Date Detail:
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Created Date: 2011-10-18 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101249582 Medline TA: Med Image Comput Comput Assist Interv Country: Germany |
Other Details:
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Languages: eng Pagination: 259-66 Citation Subset: IM |
Affiliation:
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McConnell Brain Imaging Centre, Montreal Neurological Institute, 3801 University Street, Montreal, Quebec H3A 2B4, Canada. silvain.beriault@mail.mcgill.ca |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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