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Conference papers
Deformation Aware Augmented Reality for Craniotomy using 3D/2D Non-rigid Registration of Cortical Vessels
Abstract : Intra-operative brain shift is a well-known phenomenon that describes non-rigid deformation of brain tissues due to gravity and loss of cerebrospinal fluid among other phenomena. This has a negative influence on surgical outcome that is often based on pre-operative planning where the brain shift is not considered. We present a novel brain-shift aware Augmented Reality method to align pre-operative 3D data onto the deformed brain surface viewed through a surgical microscope. We formulate our non-rigid registration as a Shape-from-Template problem. A pre-operative 3D wire-like deformable model is registered onto a single 2D image of the cortical vessels, which is automatically segmented. This 3D/2D registration drives the underlying brain structures, such as tumors, and compensates for the brain shift in sub-cortical regions. We evaluated our approach on simulated and real data composed of 6 patients. It achieved good quantitative and qualitative results making it suitable for neurosurgical guidance.
Cited literature [23 references]
https://hal.inria.fr/hal-02876726
Contributor : Nazim Haouchine <>
Submitted on : Monday, October 26, 2020 - 6:35:53 PM
Last modification on : Tuesday, November 10, 2020 - 1:57:53 PM
Contributor : Nazim Haouchine <>
Submitted on : Monday, October 26, 2020 - 6:35:53 PM
Last modification on : Tuesday, November 10, 2020 - 1:57:53 PM
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MICCAI_2020_Cortical.pdf
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