Fully Automated Quantification of Regional Cerebral Blood Flow With Three-dimensional Stereotaxic Region of Interest Template : Validation Using Magnetic Resonance Imaging
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概要
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The previously reported three-dimensional stereotaxic region of interest (ROI) template (SDSRT-t) for the analysis of anatomically standardized technetium-99m-L,L-ethyl cysteinate dimer (^<99m>Tc-ECD) single photon emission computed tomography (SPECT) images was modified for use in a fully automated regional cerebral blood flow (rCBF) quantification software, 3DSRT, incorporating an anatomical standardization engine transplanted from statistical parametric mapping 99 and ROIs for quantification based on 3DSRT-t. Three-dimensional T_2-weighted magnetic resonance images of 10 patients with localized infarcted areas were compared with the ROI contour of 3DSRT, and the positions of the central sulcus in the primary sensorimotor area were also estimated. All positions of the 20 lesions were in strict accordance with the ROI delineation of 3DSRT. The central sulcus was identified on at least one side of 210 paired ROIs and in the middle of 192 (91.4%) of these 210 paired ROIs among the 273 paired ROIs of the primary sensorimotor area. The central sulcus was recognized in the middle of more than 71.4% of the ROIs in which the central sulcus was identifiable in the respective 28 slices of the primary sensorimotor area. Fully automated accurate ROI delineation on anatomically standardized images is possible with 3DSRT, which enables objective quantification of rCBF and vascular reserve in only a few minutes using ^<99m>Tc-ECD SPECT images obtained by the RVR method.
- 日本脳神経外科学会の論文
- 2003-03-15
著者
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TAKEUCHI Ryo
Department of Applied Biological Science, Faculty of Science and Technology, Tokyo University of Sci
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片山 重則
西神戸医療センター脳神経外科
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KONISHI JUNJI
Department of Nuclear Medicine, Faculty of Medicine, Kyoto University
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Yonekura Yoshiharu
Biomedical Imaging Research Center Fukui Medical University
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Yonekura Yoshiharu
Biomedical Imaging Research Center Faculty Of Medicine University Of Fukui
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Konishi Junji
Department Of Nuclear Medicine And Diagnostic Imaging Kyoto University Graduate School Of Medicine
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KATAYAMA Shigenori
Department of Neurosurgery, Nishi-Kobe Medical Center
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TAKEDA Naoya
Department of Neurosurgery, Nishi-Kobe Medical Center
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FUJITA Katsuzo
Department of Neurosurgery, Nishi-Kobe Medical Center
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Konishi Junji
Department Of Nuclear Medicine And Diagnostic Imaging Graduate School Of Medicine Kyoto University
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Takeuchi Ryo
Department Of Applied Biological Science Faculty Of Science And Technology Tokyo University Of Scien
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Takeuchi Ryo
Department Of Internal Medicine & Division Of Nuclear Medicine Nishi-kobe Medical Center
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Takeda Naoya
Department Of Neurosurgery Nishi-kobe Medical Center
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Takeda Naoya
Department Of Materials Science And Technology Faculty Of Engineering Niigata University
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Yonekura Y
Fukui Medical Univ.
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Fujita Katsuzo
Department Of Neurosurgery Nishi-kobe Medical Center
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Fujita Katsuzo
Department Of Neurological Surgery Kobe University School Of Medicine
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Katayama Shigenori
Department Of Neurosurgery Nishi-kobe Medical Center
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TAKEDA Naoya
Department of Chemistry and Biotechnology, Graduate School of Engineering, University of Tokyo
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TAKEDA Naoya
Department of Basic Biology in the School of Life Science of the Graduate University for Advanced Studies
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