DocumentCode :
2153267
Title :
Measuring the cortical thickness [MRI segmentation procedure]
Author :
Kruggel, Frithjof ; Von Cramon, D. Yves
Author_Institution :
Max-Planck-Inst. of Cognitive Neurosci., Leipzig, Germany
fYear :
2000
fDate :
2000
Firstpage :
154
Lastpage :
161
Abstract :
Besides normal aging, a number of brain diseases are known to reduce the amount of grey matter in the brain. To better understand the nature and progression of these disease processes, quantitative measurements of relevant brain structures, such as the regional cortical thickness, are highly desirable. Starting from high resolution volumetric MR images of the human head, a reliable segmentation procedure for the grey matter compartment is described which allows thickness measurements at sub-voxel resolution. Simulation experiments and comparisons with published data from histological examinations prove the validity of results
Keywords :
biomedical MRI; brain; diseases; image resolution; image segmentation; medical image processing; thickness measurement; MRI segmentation procedure; brain diseases; brain grey matter amount reduction; cortical thickness measurement; high resolution volumetric MR images; histological examinations; human head; medical diagnostic imaging; regional cortical thickness; reliable segmentation procedure; subvoxel resolution; Aging; Alzheimer´s disease; Brain; Data mining; Degenerative diseases; Humans; Image segmentation; Neurons; Neuroscience; Thickness measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mathematical Methods in Biomedical Image Analysis, 2000. Proceedings. IEEE Workshop on
Conference_Location :
Hilton Head Island, SC
Print_ISBN :
0-7695-0737-9
Type :
conf
DOI :
10.1109/MMBIA.2000.852372
Filename :
852372
Link To Document :
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