1993 Fiscal Year Final Research Report Summary
Development of an Image Analyzing System for Cardiovascular Morphorogy and Dynamics using Synchrotron Radiation Imaging
| Project/Area Number |
04557113
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| Research Category |
Grant-in-Aid for Developmental Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
医学一般
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| Research Institution | Yamagata University |
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Principal Investigator |
AKATSUKA Takao Yamagata Univ., Faculty of Engineering Professor, 工学部, 教授 (80091875)
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| Co-Investigator(Kenkyū-buntansha) |
HIRANAKA Yukio Yamagata Univ., Fac.of Engineering Assoc.Prof., 工学部, 助教授 (40134465)
TAKEDA Tohoru Univ.of Tsukuba, Inst.of Clinical Med., Assistant Prof., 臨床医学系, 講師 (10197311)
HYODO Kazuyuki KEK, Photon Factory, Research Associate, 放射光実験施設, 助手 (60201729)
HASEGAWA Shin Univ.of Electro-Communications, Dep.of E.E.Professor, 電気通信学部, 教授 (60017308)
ANDO Masaomi KEK, Photon Factory Professor, 放射光実験施設, 教授 (30013501)
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| Project Period (FY) |
1992 – 1993
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| Keywords | Synchrotron Radiation / Digital Subtraction Angiography / Cardiac Function / Time Varying Image Processing / Energy Subtraction Image / Image Recording / Monochromatic X-ray / Measurement on Image |
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| Research Abstract |
The final goal of this project is to detect cardiovascular abnormality in its early stage. For this purpose synchrotron radiation (SR) imaging is quite useful to find precise structure on moving organs, and it gives us spectral information of objects. On the other hand, we can get more exact structures and functions of living organs from time sequence images. Here we developed a system and several algorithms to realize such analysis.
Two spectrum images obtained in 2ms, i.e. ignorable time interval for cardiac motion, image data sequences are recorded in IC memory bank with required reference time series signal. Each image data is 512x512 size with 12bit depth, and the usual time difference between two spectrum image sequences is 2ms. For fast correction of image distortion and real time DSA, a fast data processing board is prepared and more sophisticated processing are executed on a work station connected to this recording system.
Several basic algorithms for the analysis of image sequence and information extraction for evaluation of organs are developed on related practical problems, e.g. 3D coronary structure identification from biplane image time sequences, detection and tracking moving targets and imaging of specific materials in organs from spectrum images.
A few problems on the optical system for SR imaging is also studied. For the suppression of scattering X-ray flux and the fast switching of X-ray spectrum for energy subtraction imaging, we found solutions, and their implementation are continuing. Improvement of diagnosing algorithm and clinical evaluation of this system is the next problem.
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