| Project/Area Number |
16500318
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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 |
Medical systems
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| Research Institution | Osaka University |
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Principal Investigator |
JOHKOH Takeshi Osaka University, Graduate School of Medicine, Professor, 大学院医学系研究科, 教授 (20263270)
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| Co-Investigator(Kenkyū-buntansha) |
MATSUMOTO Mitsuhiro Osaka University, Graduate School of Medicine, Associate Professor, 大学院医学系研究科, 助教授 (10362691)
OGATA Yuji Osaka University, Graduate School of Medicine, Assistant Professor, 大学院医学系研究科, 助手 (60281127)
TOMIYAMA Noriyuki Osaka University, Graduate School of Medicine, Associate Professor, 大学院医学系研究科, 助教授 (50294070)
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| Project Period (FY) |
2004 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥2,800,000 (Direct Cost: ¥2,800,000)
Fiscal Year 2006: ¥600,000 (Direct Cost: ¥600,000)
Fiscal Year 2005: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2004: ¥1,300,000 (Direct Cost: ¥1,300,000)
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| Keywords | idiopathic interstitial pneumonia / CT / volume histogram analysis / entropy / variance / contrast / Volume Histogram Analysis / 特発性間質性肺炎 / UIP / NSIP / computed tomography / volume data / ボリュームヒストグラム / Contrast / Entropy / Variant / 間質性肺炎 / テクスチャー解析 |
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| Research Abstract |
Following three parmets contrast, entropy, variance were used for below 4 purposes.. 1. Differentiation between usual interstitial pneumonia (UIP) and non-specific interstitial pneumonia (NSIP), 2. Production of the parameter for evaluation of treatment effect in NSIP, 3. Production of the parameter for assessment of disease activity in acute interstitial pneumonias (AIP), and 4. Development of the software of automatic evaluation for above 1-3. Results were as follows. 1. Entropy and variance in UIP were larger than those in NSIP. Thus, entropy and variance was clue for the differentiation of both diseases. 2. After treatment, contrast was increased. Therefore, contrast was the key parameter for the evaluation of disease activity in NSIP. 3. According to the previous studies, we produced the scorering system of CT findings AIP with the admixture of both contrast and entropy. 4. Automatic analyzing system was drived from thhe segmentation of whole lungs by 2cm cubes. In each cube, above three parameters are calculated and systematize to one parameter.
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