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Proceedings Paper

Automatic classification of sulcal regions of the human brain cortex using pattern recognition
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Paper Abstract

Parcellation of the cortex has received a great deal of attention in magnetic resonance (MR) image analysis, but its usefulness has been limited by time-consuming algorithms that require manual labeling. An automatic labeling scheme is necessary to accurately and consistently parcellate a large number of brains. The large variation of cortical folding patterns makes automatic labeling a challenging problem, which cannot be solved by deformable atlas registration alone. In this work, an automated classification scheme that consists of a mix of both atlas driven and data driven methods is proposed to label the sulcal regions, which are defined as the gray matter regions of the cortical surface surrounding each sulcus. The premise for this algorithm is that sulcal regions can be classified according to the pattern of anatomical features (e.g. supramarginal gyrus, cuneus, etc.) associated with each region. Using a nearest-neighbor approach, a sulcal region is classified as being in the same class as the sulcus from a set of training data which has the nearest pattern of anatomical features. Using just one subject as training data, the algorithm correctly labeled 83% of the regions that make up the main sulci of the cortex.

Paper Details

Date Published: 15 May 2003
PDF: 12 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.480834
Show Author Affiliations
Kirsten Judith Behnke, Johns Hopkins Univ. (United States)
National Institutes of Health (United States)
Maryam E. Rettmann, Johns Hopkins Univ. (United States)
National Institutes of Health (United States)
Dzung L. Pham, Johns Hopkins Univ. (United States)
Dinggang Shen, Univ. of Pennsylvania (United States)
Susan M. Resnick, National Institutes of Health (United States)
Christos Davatzikos, Univ. of Pennsylvania (United States)
Jerry L. Prince, Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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