Publications
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AUTOMATED ANALYSIS OF STRUCTURAL MRI DATA
Source: 2003 Aug;(5).
Author: Thompson PM, Rapoport JL, Cannon TD, Toga AW.
Abstract:
In this chapter, we review computational methods to detect structural differences in the brain. We describe the mathematical concepts underlying several common approaches, including voxel-based morphometry, deformation morphometry, and tensor-based morphometry, as well as shape modeling, and traditional volumetrics (see Figure). We also cover hybrid approaches (e.g., cortical pattern matching) which analyze shape and tissue distribution in the same analysis. Each technique is optimized to detect specific features, and has its own strengths and limitations. We highlight illustrative clinical findings from studies of development, dementia and schizophrenia. We also describe newer techniques that map patterns of brain change over time (e.g., to study disease progression or medication effects). Finally we describe how imaging statistics can be expanded to assess genetic effects on brain structure, in family, twin or allele-based designs.
Source: 2003 Aug;(5).
Author: Thompson PM, Rapoport JL, Cannon TD, Toga AW.
Abstract:
In this chapter, we review computational methods to detect structural differences in the brain. We describe the mathematical concepts underlying several common approaches, including voxel-based morphometry, deformation morphometry, and tensor-based morphometry, as well as shape modeling, and traditional volumetrics (see Figure). We also cover hybrid approaches (e.g., cortical pattern matching) which analyze shape and tissue distribution in the same analysis. Each technique is optimized to detect specific features, and has its own strengths and limitations. We highlight illustrative clinical findings from studies of development, dementia and schizophrenia. We also describe newer techniques that map patterns of brain change over time (e.g., to study disease progression or medication effects). Finally we describe how imaging statistics can be expanded to assess genetic effects on brain structure, in family, twin or allele-based designs.