| Project/Area Number |
63550306
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
計測・制御工学
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| Research Institution | Nagoya Institute of Technology |
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Principal Investigator |
SUZUMURA Nobuo Nagoya Inst. of Tech., Faculty of Eng., Prof., 工学部, 教授 (10023102)
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| Co-Investigator(Kenkyū-buntansha) |
MATSUO Hiroshi Nagoya Inst. of Tech., Faculty of Eng., Research Assoc., 工学部, 助手 (00219396)
HORIBA Isao Meijo Univ., Faculty of Science and Tech., Assistant Prof., 理工学部, 講師 (60199560)
IWATA Akira Nagoya Inst. of Tech., Faculty of Eng., Associate Prof., 工学部, 助教授 (10093098)
ISHI Naohiro Nagoya Inst. of Tech., Faculty of Eng., Prof., 工学部, 教授 (50004619)
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| Project Period (FY) |
1988 – 1989
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| Project Status |
Completed (Fiscal Year 1989)
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| Budget Amount *help |
¥2,500,000 (Direct Cost: ¥2,500,000)
Fiscal Year 1989: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 1988: ¥1,600,000 (Direct Cost: ¥1,600,000)
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| Keywords | X-ray Tomosynthesis / Digital Tomography / Inverse Filter / Back Projection / デジタル多断層法 |
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| Research Abstract |
The digitized radiographical system provides a set of radiographic projections from predetermined angle of view. From these finite set of digitized radiographs, the internal structure of the body at any arbitrary slice can be reproduced using Tomosynthetic technique. However, the resulting image quality is degraded by superimposition of the structures on out of focused slice.
This research proposed a new reconstructing method for digital tomo-synthesis to reduce the undesired superimposition. It utilizes a 3-dimensional convolution process with the inverse filtering. Inverse filter transfer function was derived analytically from the impulse response function of the projection and back-projection process. Instability of the inverse filtering process has been eliminated considering the localization of object information in the Fourier space. By the phantom experiment using conventional tomographic system, it has been shown that the proposed algorithm is able to reproduce the expected gray level on the slice. It can also reduce the blurred images from outside of focused slice.
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