Abstract #300729

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JSM 2003 Abstract #300729
Activity Number: 253
Type: Topic Contributed
Date/Time: Tuesday, August 5, 2003 : 12:00 PM to 1:50 PM
Sponsor: Biometrics Section
Abstract - #300729
Title: Addressing Some Difficulties in Region of Interest Approaches to Brain Image Data
Author(s): Patrick S. Carmack*+ and Jeff S. Spence and William R. Schucany and Richard F. Gunst
Companies: Southern Methodist University and Southern Methodist University and Southern Methodist University and Southern Methodist University
Address: Statistical Science, Dallas, TX, 75275-0332,
Keywords: region of interest ; brain ; Talairach ; resolution ; SPECT
Abstract:

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 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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