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September 25, 2008

Mtg: Quantifying Brain Anatomy Using Deformation Morphometry

by @ 7:00 am. Filed under ALL, BioEngineering, Computers/Software, NanoEngineering, Optics/Displays
 

TUESDAY October 21, 2008
SF Engineering in Medicine and Biology Chapter
Speaker: Dr. Valerie Cardenas, Research Scientist, Northern California Institute for Research and Education and Assistant Adjunct Professor at UCSF
Time: No-host bar at 6:00 PM; Dinner at 7:00 PM; Presentation at 7:30 PM
Cost: $10 students, $15 members, $25 non-members
Place: Sinbadâ??s Restaurant, Pier 2 Embarcadero St., San Francisco
RSVP: by Oct 20 to Bob Giebeler, b.giebeler@ieee.org
Web: www.e-grid.net/docs/0810-sf-emb.pdf

Computational shape analysis of structural MRI data that identifies anatomical changes in the brain has the potential to identify patterns of atrophy due to normal aging or disease, and identify how different clinical or cognitive testing variables are related to specific brain structures. ? Nonlinear, nonrigid image registration techniques have been widely used to warp the 3D MRI of one brain into the space of a reference brain or atlas while accounting for the anatomical variations between them. ? This approach has been also been used to measure the longitudinal change between sequential MRIs of the same subject. ? Deformation morphometry is a method for analyzing and quantifying the relationship between brain anatomy and disease or function, typically by computing statistics voxel-by-voxel using three-dimensional (3D) maps of local anatomical size derived from nonrigid image registration methods. ? In this talk, an overview of deformation morphometry methodology will be presented, as well as numerous examples using deformation morphometry to study clinical populations.

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