| Co-Investigator(Kenkyū-buntansha) |
岡本 克郎 都立松沢病院, 精神神経科, 医師
TAZAKI Ryozo The University of Tokyo, 工学部, 助手 (30143390)
ARAKAWA Kaoru The University of Tokyo, 工学部, 助手 (30183734)
SAITO Takahiro Kanagawa University, 工学部, 助教授 (10150749)
OKAMOTO Katsuro Metoropolitan Matsuzawa Hospital
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| Budget Amount *help |
¥8,000,000 (Direct Cost: ¥8,000,000)
Fiscal Year 1988: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 1987: ¥7,000,000 (Direct Cost: ¥7,000,000)
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| Research Abstract |
Several types of CT, such as X-Ray CT, MRI, and Positron-CT, are used for diagnoses of brain diseases. These CTs are complements each of the other, and complementary data analysis of various CTs will make a large contribution to the establishment of a new diagnostic system for brain diseases.
As the first step of this, the project has developed a three-dimensional brain-anatomy data-base and a atructure-analysis algorithm utilizing the data-base, and proved that this algorithm can successfully analyze a CT-image of a normal brain. In addition, the project has developed an advanced algorithm which reconstructs three-dimensional structure of parts of brain anatomy from contour lines on a limited set of two-dimensional CT-cross section by utilizing the data-base, and demonstrated that advanced reconstruction algorithm is clinically available, through its application to visual estimation of cerebral atrophy.
The above-mentioned structure-analysis algorithm, however, cannot be applied to a quite metamorphosed brain. To cope with this problem, this project has incorporated an enteractive CT-image analysis system as a software on an image-processing work-station. In this system, the structure-analysis software and the interactive software are written in the C-language and the graphics language peculiar to the workstation, respectively. An operator can analyze a CT-image within five minutes by using the interactive CT-image analysis system. Furthermore, this project has preliminarily applied the interactive CT-image analysis system to volum estimation of brain anatomies, and the preliminary investigation has demonstrated that the interactive CT-image analysis system has a potential for providing clinically available information.
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