| Project/Area Number |
24500539
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Medical systems
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| Research Institution | Yokohama National University |
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Principal Investigator |
GOTOH TOSHIYUKI 横浜国立大学, 環境情報研究科(研究院), 教授 (30234991)
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| Co-Investigator(Kenkyū-buntansha) |
KAGEI Seiichiro 横浜国立大学, 環境情報研究院, 名誉教授 (20017966)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 画像診断システム / 医用画像処理 / 3次元ＣＴ / 時系列ＭＲＩ / ＣＯＰＤ / モダリティ統合 / 肺野構造解析 / 医用画像 / ３次元ＣＴ / COPD / 肺葉 / ＩＣＰ / 時系列MRI / ３次元CT |
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| Outline of Final Research Achievements |
In this study, a registration method for finding correspondences between feature points of MR and CT images was investigated, using a principal motion pattern model which is applicable for even COPD (Chronic Obstructive Pulmonary Disease) or IP (Interstitial Pneumonia). A new pulmonary blood flow analysis for contrast-enhanced MR was then developed, based on a two-input model including the pulmonary artery and the recirculation from the aorta into the lung. We have also proposed a multi-modality MR-CT integration using lung vessel determination. Then, an automated anatomy structure segmentation method, such as the lobe, airway tree and pulmonary vessel tree, in a chest CT was developed, based on newly proposed a failure tracking and recovery algorithm.
Integrating the proposed methods, we have also developed a prototype system to investigate diffuse lung diseases diagnosis and/or blood flow distributions in each lung structure, in order to evaluate the availability for clinical uses.
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