Adaptive Physics-Based Non-Rigid Registration for Immersive Image-Guided Neuronavigation Systems

Adaptive Physics-Based Non-Rigid Registration for Immersive Image-Guided Neuronavigation Systems

Objective: In image-guided neurosurgery, co-registered preoperative anatomical, functional, and diffusion tensor imaging can be used to facilitate a safe resection of brain tumors in eloquent areas of the brain. However, the brain deforms during surgery, particularly in the presence of tumor resecti...

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Bibliographic Details
Main Authors: Fotis Drakopoulos, Christos Tsolakis, Angelos Angelopoulos, Yixun Liu, Chengjun Yao, Kyriaki Rafailia Kavazidi, Nikolaos Foroglou, Andrey Fedorov, Sarah Frisken, Ron Kikinis, Alexandra Golby, Nikos Chrisochoides
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Digital Health
Subjects:
medical image computing
deformable registration
mesh generation
neurosurgery
machine learning
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2020.613608/full

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https://www.frontiersin.org/articles/10.3389/fdgth.2020.613608/full

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