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Brain Image Analysis and Atlas Construction
Source: 2000 Aug;:1061-1129.
Author: Thompson PM, Mega MS, Narr KL, Sowell ER, Blanton RE, Toga AW.
Abstract:
In this tutorial chapter, we review some exciting developments in the field of brain image analysis and atlas construction. Brain imaging studies are expanding into ever-larger populations, and this enables digital atlases to be developed that synthesize brain data across vast numbers of subjects. Data can also be fused across multiple imaging modalities, to better understand brain structure and function in health and disease. Mathematical algorithms can exploit the data in these population-based atlases to detect pathology in an individual or patient group, to detect group features of anatomy not apparent in an individual, and to uncover powerful linkages between structure and demographic or genetic parameters. These algorithms in turn draw upon developments in the computer vision, pattern recognition, graphics, and statistical research arenas. Above all, the pace of technological development in brain imaging has clearly been matched by the rapid emergence of powerful algorithms for data analysis. The resulting armory of tools shows enormous promise in shedding light on the complex structural and functional organization of the human brain.
Source: 2000 Aug;:1061-1129.
Author: Thompson PM, Mega MS, Narr KL, Sowell ER, Blanton RE, Toga AW.
Abstract:
In this tutorial chapter, we review some exciting developments in the field of brain image analysis and atlas construction. Brain imaging studies are expanding into ever-larger populations, and this enables digital atlases to be developed that synthesize brain data across vast numbers of subjects. Data can also be fused across multiple imaging modalities, to better understand brain structure and function in health and disease. Mathematical algorithms can exploit the data in these population-based atlases to detect pathology in an individual or patient group, to detect group features of anatomy not apparent in an individual, and to uncover powerful linkages between structure and demographic or genetic parameters. These algorithms in turn draw upon developments in the computer vision, pattern recognition, graphics, and statistical research arenas. Above all, the pace of technological development in brain imaging has clearly been matched by the rapid emergence of powerful algorithms for data analysis. The resulting armory of tools shows enormous promise in shedding light on the complex structural and functional organization of the human brain.