ID | 110776 |
Author |
Furutani, Kaori
Department of Radiology, Institute of Health Biosciences, The University of Tokushima Graduate School
Harada, Masafumi
Department of Radiologic Technology, School of Medicine, The University of Tokushima
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Minato, Masako
Department of Radiology, Institute of Health Biosciences, The University of Tokushima Graduate School
Morita, Naomi
Department of Radiology, Institute of Health Biosciences, The University of Tokushima Graduate School
Nishitani, Hiromu
Department of Radiology, Institute of Health Biosciences, The University of Tokushima Graduate School
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Keywords | magnetic resonace imaging
diffusion tensor image
Statistical Parametric Mapping
normal aging
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Content Type |
Journal Article
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Description | Objective :There has been reports on the usefulness of diffusion tensor imaging (DTI) about age-or disease-related degradation. DTI is generally evaluated by the region of interest (ROI) methodology. In this study, we applied a statistical way using Statistical Parametric Mapping (SPM) to assess normal aging by DTI and compared results of these two methods. Methods : Ten young and ten senior normal volunteers were examined. On SPM, tensor images were changed into normalized tensor images. They were compared between the two groups by t-test. Results : In the senior group, fractional anisotropy (FA) values were higher on the basal ganglia, cingulated gyrus and other cortical gray matter, lower in the corona radiata, internal capsule, centrum semiovale and corpus callosum by using SPM. In the ROI method, the results were almost compatible except in the brain periphery. Conclusions : Aging changes on water diffusion anisotropy was clearly shown by SPM method which would be useful to evaluate change of water diffusion anisotropy without operator bias even in clinical setting instead of ROI measurement.
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Journal Title |
The journal of medical investigation : JMI
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ISSN | 13431420
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NCID | AA11166929
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Volume | 52
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Issue | 3-4
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Start Page | 186
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End Page | 190
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Sort Key | 186
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Published Date | 2005-08
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EDB ID | |
DOI (Published Version) | |
URL ( Publisher's Version ) | |
FullText File | |
language |
eng
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TextVersion |
Publisher
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departments |
Medical Sciences
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