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The Utility of a Convolutional Neural Network for Generating a Myelin Volume Index Map from Rapid Simultaneous Relaxometry Imaging.
https://repo.qst.go.jp/records/79643
https://repo.qst.go.jp/records/79643dc9d6faa-05fc-4d81-8166-88875c73d505
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2020-03-25 | |||||
| タイトル | ||||||
| タイトル | The Utility of a Convolutional Neural Network for Generating a Myelin Volume Index Map from Rapid Simultaneous Relaxometry Imaging. | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Tachibana, Yasuhiko
× Tachibana, Yasuhiko× Hagiwara, Akifumi× Hori, Masaaki× Kershaw, Jeffrey× Nakazawa, Misaki× Omatsu, Tokuhiko× Kishimoto, Riwa× Yokoyama, Kazumasa× Hattori, Nobutaka× Aoki, Shigeki× Higashi, Tatsuya× Obata, Takayuki× Yasuhiko, Tachibana× Kershaw, Jeffrey× Tokuhiko, Omatsu× Riwa, Kishimoto× Tatsuya, Higashi× Takayuki, Obata |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | PURPOSE: A current algorithm to obtain a synthetic myelin volume fraction map (SyMVF) from rapid simultaneous relaxometry imaging (RSRI) has a potential problem, that it does not incorporate information from surrounding pixels. The purpose of this study was to develop a method that utilizes a convolutional neural network (CNN) to overcome this problem. METHODS: RSRI and magnetization transfer images from 20 healthy volunteers were included. A CNN was trained to reconstruct RSRI-related metric maps into a myelin volume-related index (generated myelin volume index: GenMVI) map using the MVI map calculated from magnetization transfer images (MTMVI) as reference. The SyMVF and GenMVI maps were statistically compared by testing how well they correlated with the MTMVI map. The correlations were evaluated based on: (i) averaged values obtained from 164 atlas-based ROIs, and (ii) pixel-based comparison for ROIs defined in four different tissue types (cortical and subcortical gray matter, white matter, and whole brain). RESULTS: For atlas-based ROIs, the overall correlation with the MTMVI map was higher for the GenMVI map than for the SyMVF map. In the pixel-based comparison, correlation with the MTMVI map was stronger for the GenMVI map than for the SyMVF map, and the difference in the distribution for the volunteers was significant (Wilcoxon sign-rank test, P < 0.001) in all tissue types. CONCLUSION: The proposed method is useful, as it can incorporate more specific information about local tissue properties than the existing method. However, clinical validation is necessary. |
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| 書誌情報 |
Magnetic Resonance in Medical Sciences 巻 19, 号 4, p. 324-332, 発行日 2020-03 |
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| 出版者 | ||||||
| 出版者 | 日本磁気共鳴医学会 | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 1347-3182 | |||||
| PubMed番号 | ||||||
| 識別子タイプ | PMID | |||||
| 関連識別子 | 31902906 | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.2463/mrms.mp.2019-0075 | |||||
| 関連サイト | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | https://www.jstage.jst.go.jp/article/mrms/advpub/0/advpub_mp.2019-0075/_article/-char/ja/ | |||||
