| Project/Area Number |
60570912
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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 |
補綴理工系歯学
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| Research Institution | Aichi-Gakuin University |
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Principal Investigator |
HIRANUMA Kenji Aichi-Gakuin University School of Dentistry, Professor, 歯学部, 教授 (00064783)
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| Co-Investigator(Kenkyū-buntansha) |
NAKANO Kazuhiko , 歯学部・第1補綴学教室, 助手 (80183515)
OHKUBO Tadahiro , 歯学部・第1補綴学教室, 助手 (20158794)
HOSHIAI Kazumoto , 歯学部・第1補綴学教室, 講師 (10097610)
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| Project Period (FY) |
1985 – 1986
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| Project Status |
Completed (Fiscal Year 1986)
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| Budget Amount *help |
¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 1986: ¥400,000 (Direct Cost: ¥400,000)
Fiscal Year 1985: ¥1,000,000 (Direct Cost: ¥1,000,000)
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| Keywords | sieve system / image processor / masticatory efficiency |
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| Research Abstract |
We have developed an easier and more practical method to evaluate masticatory efficiency, and recently reported a new idea of counting particles of test chewing materials on the sieve instead of measuring their weight. The author wishes to introduce our newest quantitative analysis method of masticatory efficiency by counting particles through an image processor and personal computer system, which is expected to completely revolutionize the conventional physical sieving. The present report discusses the basic analysis of this new system.
MATERIALS & METHOD
1. Reversible and irreversible hydrocolloid impression materials were used as the test materials. 2. Pictures of the test materials, broken up by the subjects under the specific times of chewing, were taken by the video camera. The video signals were converted to digital signals, and thereafter the picture was split to 65,536 pixels by the image processor (EYESYS FIM-2). 3. Each pixel was input on a grey scale of 16 grades into a personal computer. 4. These data were calculated for both the projected area and maximum diameter in X & Y axis for each particles.
RESULTS
1. In this system, it is possible to classify the particles into optional sizes and to count on each of the grades without using any mechanical sieve system. 2. By comparing this analysis with the conventional sieve system, the measured values by this system were almost the same, especially in the 5 and 10 mesh grades.
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