Title :
Detecting dynamic and genetic effects on brain structure using high-dimensional cortical pattern matching
Author :
Thompson, Paul M. ; Hayashi, Kiralee M. ; De Zubicaray, Greig ; Janke, Andrew L. ; Rose, Stephen E. ; Semple, James ; Doddrell, David M. ; Cannon, Tyrone D. ; Toga, Arthur W.
Author_Institution :
Sch. of Medicine, California Univ., Los Angeles, CA, USA
Abstract :
We briefly describe a set of algorithms to detect and visualize effects of disease and genetic factors on the brain. Extreme variations in cortical anatomy, even among normal subjects, complicate the detection and mapping of systematic effects on brain structure in human populations. We tackle this problem in two stages. First, we develop a cortical pattern matching approach, based on metrically covariant partial differential equations (PDEs), to associate corresponding regions of cortex in an MRI brain image database (N=102 scans). Second, these high-dimensional deformation maps are used to transfer within-subject cortical signals, including measures of gray matter distribution, shape asymmetries, and degenerative rates, to a common anatomic template for statistical analysis. We illustrate these techniques in two applications: (1) mapping dynamic patterns of gray matter loss in longitudinally scanned Alzheimer´s disease patients; and (2) mapping genetic influences on brain structure. We extend statistics used widely in behavioral genetics to cortical manifolds. Specifically, we introduce methods based on h-squared distributed random fields to map hereditary influences on brain structure in human populations.
Keywords :
biomedical MRI; brain; diseases; genetics; image matching; medical image processing; partial differential equations; behavioral genetics; brain structure; common anatomic template; genetic effects; gray matter distribution; h-squared distributed random fields; hereditary influences mapping; high-dimensional cortical pattern matching; human populations; longitudinally scanned Alzheimer´s disease patients; magnetic resonance imaging; medical diagnostic imaging; metrically covariant partial differential equations; normal subjects; within-subject cortical signals; Anatomy; Brain; Diseases; Genetics; Humans; Magnetic resonance imaging; Partial differential equations; Pattern matching; Shape measurement; Visualization;
Conference_Titel :
Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7584-X
DOI :
10.1109/ISBI.2002.1029297