| Project/Area Number |
15K15210
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Medical Physics and Radiological Technology
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Research Collaborator |
Olivo Alessandro University College London, Applied Physics, Professor
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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 位相X線 / Computed Tomography / 隠れ変数推定 / 屈折率 / 吸収X線 / スパース推定 / 特徴量選択 / X線CT / 屈折 / ベイズ推定 |
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| Outline of Final Research Achievements |
Phase-contrast X-ray imaging is a technique that visualizes the refractive indexes of materials, and is expected to visualize soft tissues or small tissues those are hard to visualize by a conventional absorption-contrast X-ray imaging that visualizes the absorption coefficients of materials. Although the phase-contrast X-ray projection imaging progresses aiming for clinical application, phase-contrast X-ray computed tomography is struggle for practical realization due to the vulnerability to the observation noise or numerical error as well as the long scanning time. In this project, we develop a novel algorithm for the phase-contrast X-ray computed tomography that suppresses the above-mentioned problems by constructing a statistical model that bases on the physical observation process of the edge-illumination phase-contrast X-ray imaging and by developing a statistical algorithm for estimating the hidden signals in the noisy observations.
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