| Project/Area Number |
26330212
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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 |
Perceptual information processing
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
Xu Gang 立命館大学, 情報理工学部, 教授 (90226374)
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| Co-Investigator(Kenkyū-buntansha) |
陳 延偉 立命館大学, 情報理工学部, 教授 (60236841)
韓 先花 国立研究開発法人産業技術総合研究所, 人工知能研究センター, 主任研究員 (60469195)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 画像認識 / 医用画像処理 / 3次元 / アラインメント / 変形 / ボリュームデータ / CT / MRI / ３次元 |
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| Outline of Final Research Achievements |
This research shows that against the intuition of impossibility of exhaustive search of a relatively large number of parameters, by a number of techniques to reduce computational cost, we succeeded in localization and alignment of livers in MR volume data by exhaustive search of 15 parameters including 3 for position, 3 for orientation, 1 for scale, and 8 for deformation. Deformation is represented as a linear combination of principal components of a set of some 50 aligned 3D sample models.
Using GPU for acceleration, we were able to find livers withour any human intervention at a speed of 1.5 minutes, which is now manually done by human operators at a speed of half a day.
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