Development of Medical Image Processing Technology Based on Sparse Coding and Hardware Implementation
| Project/Area Number |
26420350
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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 |
Communication/Network engineering
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| Research Institution | Kanazawa University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
松田 吉雄 金沢大学, 電子情報学系, 教授 (20401896)
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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 |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | Sparse coding / Medical image processing / Noise reduction / Non-local means / Hardware design / 医療画像処理 / スパースコーディング / ノイズ除去 / 医用画像処理 |
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| Outline of Final Research Achievements |
In this study, we developed a noise reduction method based on sparse coding for X-ray image as medical image processing algorithms, and we studied hardware implementation for the purpose of practical use. The major achievements were development of a dictionary design technique for sparse coding corresponded to Poisson noise and a fast atom selection method using initial inner product. These proposed method provided good noise reduction performance. On the other hand, we designed hardware of a fast processing algorithm using Cholesky decomposition, and evaluated the performance.
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Report
(4 results)
Research Products
(11 results)
