| Addressing Difficulties in Region of Interest Approaches to Brain Image Data |
| Analyzing brain-image data presents statisticians with exciting and challenging problems. Several approaches exist for analyzing the entire brain. Techniques collectively referred to as region of interest (ROI) help alleviate some of the difficulties associated with analyzing the whole brain. These are especially valuable when medical investigators have some motivation for restricting the analysis to a particular area. One difficulty with ROI is to accurately capture data from a prescribed part of the brain. Scans from PET, SPECT, and fMRI are commonly mapped into what is known as the Talairach coordinate space, where coordinates are supposed to correspond to a standard brain atlas. In reality, severe discrepancies exist between scans mapped into this normalized space and the Talairach brain atlas. Another difficulty with retrieving data in an atlas-based approach is the resolution of the digital atlas and the spatially normalized scans need not be the same. The present paper develops a transformation to address the aforementioned accuracy problem in the deep brain region adjacent to the lateral ventricle. Additionally, a solution to the change of resolution problem is examined. |
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Patrick Carmack Southern Methodist University Student Poster Session |
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April 4-5, 2003
Texas A&M University
College Station, TX
Email:
cots@stat.tamu.edu
Fax: (979) 845-3144
Phone: (979) 845-3141