Statistical Mechanical Approach to the 3-Dimensional Medical ImageReconstruction
| Project/Area Number |
21500214
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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 |
Sensitivity informatics/Soft computing
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
SHOUNO Hayaru 電気通信大学, 大学院・情報理工学研究科, 准教授 (50263231)
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| Project Period (FY) |
2009 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | CT 画像 / Radon 変換 / ハイパーパラメータ推定 / ベイズ推定 / 画像修復 / 断層画像 / Bayes 推定 / 4D 画像 / CT画像 / 画像再構成 / Radon変換 |
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| Research Abstract |
We introduce a Bayes inference method, which is a kind of statistical mechanical approach, into the medical tomography image reconstruction that is frequently used in the diagnosis. Applying the Bayes inference, we provide an inference algorithm for the strength ratio between prior knowledge and the observed data. In the result, we confirm our algorithm shows better results in almost all the cases rather than that of the conventional method.
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Report
(5 results)
Research Products
(41 results)
