SCHEDULE: NOV 10-16, 2007

High Performance Non-rigid Registration for Image-Guided Neurosurgery

Session: Doctoral Research Showcase II

Event Type: Doctoral Research Showcase

Time: 10:45am - 11:00am

Session Chair: Martin Schulz

Author(s): Andriy Fedorov

Location: A10 / A11

Abstract:
Non-rigid registration of brain imagery is an essential procedure in medical image processing. It allows to account for intra-operative brain shift and use pre-operative MRI during the neurosurgical resection of tumors.

In my research I study how HPC can be used to (1) perform non-rigid registration within the time constraints of the surgery, and (2) improve the accuracy of registration. Using HPC, we were able to reduce the time required for registration to minutes. In our current work we study how large-scale computing resources like TeraGrid can facilitate intra-operative search for optimal parameter setting of a registration algorithm to reduce the alignment error.

I will also briefly discuss the educational aspects of my PhD thesis work. For the last two years, non-rigid registration and related research have been providing materials for building a platform for teaching medical imaging and image processing at the College of William and Mary.

Chair/Author Details:

Martin Schulz (Chair)
Lawrence Livermore National Laboratory

Andriy Fedorov
College of William and Mary

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