| Project/Area Number |
16K19865
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Radiation science
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| Research Institution | Kyoto College of Medical Science |
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Principal Investigator |
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| Research Collaborator |
NAKAMURA Hitomi
OGINO Yukako
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2018: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 量子雑音除去 / ウェーブレット変換 / 核医学画像 / SPECT / PET / 二検出器型ガンマカメラ装置 / 雑音除去 / 放射線 |
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| Outline of Final Research Achievements |
The purpose of this study was to develop a novel Poisson noise reduction method of the nuclear medicine images based Bayes Wavelet Shrink technique. A present method was evaluated to a digital brain phantom (produced by Japanese Society of Nuclear Medicine Working Group) with statistical noise and a Hoffman 3-D brain phantom. Quality of the reconstructed images was evaluated in terms of mean structural similarity values and normalized mean square error.
A present method was effective improvement of image quality can be expected by comparison with a Butterworth filter. Also, this method was considered clinical useful and a widely available simple method.
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| Academic Significance and Societal Importance of the Research Achievements |
術者が経験や知識に基づいて任意の処理条件設定を行う必要がないウェーブレット変換を利用した開発手法（Weighted Bayes Wavelet Shtinkage method）は、核医学画像における量子雑音を局所的、効率的かつ簡便に除去することが可能であり、一般臨床核医学検査における定量性、再現性、および標準化に大きく貢献する可能性が示唆された。また、医療被ばくの最適化や更なる医療被ばく線量の低減にも貢献することが示唆された。
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