Estimating Cortical Surface Motion Using Stereopsis for Brain Deformation Models

14 years 5 months ago

Download www.cs.dartmouth.edu

We present a method for estimating the 3-D structure of the cortical surface using an operating microscope whose binocular optics are fitted with two CCD cameras. The cortical surface is then tracked over time and the measured displacement can be used to drive FEM-based models for the recovery of subsurface brain deformations. We show the efficacy of this technique on a clinical case.

Hai Sun, Hany Farid, Kyle Rick, Alex Hartov, David

Real-time Traffic

Binocular Optics | Cortical Surface | Medical Imaging | MICCAI 2003 | Subsurface Brain Deformations |

claim paper

» Deformable Registration of TumorDiseased Brain Images

» A New Approach to 3D Sulcal Ribbon Finding from MR Images

» A Deformable Brodmann Area Atlas

» Relative Epipolar Motion of Tracked Features for Correspondence in Binocular Stereo

» Motion Capture Using Joint Skeleton Tracking and Surface Estimation

» Oriented Morphometry of Folds on Surfaces

» Modelbased 3D Shape and Motion Estimation Using Sliding Textures

» Predictive Modeling of Anatomic Structures Using Canonical Correlation Analysis

Post Info
More Details (n/a)

Added	15 Nov 2009
Updated	15 Nov 2009
Type	Conference
Year	2003
Where	MICCAI
Authors	Hai Sun, Hany Farid, Kyle Rick, Alex Hartov, David W. Roberts, Keith D. Paulsen

Comments (0)

Sciweavers

Estimating Cortical Surface Motion Using Stereopsis for Brain Deformation Models

Binocular Optics | Cortical Surface | Medical Imaging | MICCAI 2003 | Subsurface Brain Deformations |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers