| Project/Area Number |
09671925
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
病態科学系歯学(含放射線系歯学)
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| Research Institution | Kyushu University |
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Principal Investigator |
TANAKA Takemasa Fac.Dentistry, Dept.Oral and Maxillofacial Radiology, Kyushu University Research Associate, 歯学部, 助手 (30163538)
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| Co-Investigator(Kenkyū-buntansha) |
KAWAZU Toshiyuki Fac.Dentistry, Dept.Oral and Maxillofacial Radiology, Kyushu University Research, 歯学部, 助手 (20294960)
TABATA Osamu Fac.Dentistry, Dept.Oral and Maxillofacial Radiology, Kyushu University Assistan, 歯学部, 講師 (50150470)
TOYOFUKU Fukai School of Health Science, Kyushu University Associate Professor, 医療技術短期大学部, 教授 (10117179)
TOKUMORI Kenji Fac.Dentistry, Dept.Oral and Maxillofacial Radiology, Kyushu University Research, 歯学部, 助手 (40253463)
YOSHIURA Kazunori Fac.Dentistry, Dept.Oral and Maxillofacial Radiology, Kyushu University Assistan, 歯学部, 講師 (20210643)
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| Project Period (FY) |
1997 – 1998
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| Project Status |
Completed (Fiscal Year 1998)
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| Budget Amount *help |
¥3,100,000 (Direct Cost: ¥3,100,000)
Fiscal Year 1998: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 1997: ¥1,900,000 (Direct Cost: ¥1,900,000)
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| Keywords | fuzzy reasoning / computer-assisted diagnosis / fuzzy c-means clustering / digital image / digital dental imaging system / computer-assistediagnosis / fuzzyc-meansclustering / digitalimage / digitaldentalimagingsystem |
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| Research Abstract |
The digital dental imaging system (DDIS) has been developed and spread widely in recent years. The images of DDIS, however, aren't always so good, because of insufficient density distribution. Therefore, it seems that DDIS requires density optimization in an appropriate way. The authors applied the fuzzy reasoning and fuzzy c-means clustering algorithm for this purpose. According to our method, density distribution of most DDIS images could be improved better than the conventional histogram equalization method.
Moreover, this method could be applied for the reduction of absorbed dose of the patients. If the exposure time is shorter than standard one and the density of the image is insufficient, the density can be compensated acoording to the method described as above. Consequently, it was suggested that the absorbed dose could be decreased 38.3%.
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