Development of Second Generation Tagging MRI Inspired by Pattern Recognition Theory
| Project/Area Number |
16H03167
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Biomedical engineering/Biomaterial science and engineering
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
天野 晃 立命館大学, 生命科学部, 教授 (60252491)
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| Project Period (FY) |
2016-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2019: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2018: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2017: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2016: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
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| Keywords | MRI / タギングMRI / デジタル符号化 / パターン認識 |
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| Outline of Final Research Achievements |
In this research project, we have theoretically and experimentally assessed our new tagging MRI approach with exclusively designed tag pattern which is inspired by pattern recognition theory. By considering the bright and dark regions of tagging MRI as binary code, we previously reported an approach of tagging MRI to track fine motion with accumulation of images acquisitions. We further improve the method to complete in a single acquisition by expanding the binary code into spatial domain.
We implemented spatially selective pulses in an experimental MRI system to create a two-dimensional tag pattern by which each pixel can be discriminated each other through pattern matching of neighboring nine pixels. Experimental study with moving phantom resulted in successful detection of motion pixel by pixel.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究が対象とするタギングMRIは心臓壁の輪郭のみならず壁内部の位置変化も検出可能で、様々な心疾患の詳細な病態評価に期待されているが、タグを正確に追跡するための画像処理の煩雑さなどにより、一般臨床に広く用いられるには至っていない。本研究ではタギングMRIにおける明暗パターンを各画素に割り当てた二値のデジタル符号とみなし、デジタル情報処理に用いられるパターン認識の考え方を導入することにより、解析の煩雑さという問題点を解決するのみならず、画素単位で位置検出を実現した。心臓の運動解析に情報学的観点を融合させたという点から学術的な、また臨床応用への問題点を克服するという点から社会的な意義も高い。
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Report
(5 results)
Research Products
(53 results)
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[Journal Article] Hexaphyrin as a potential theranostic dye for photothermal therapy and 19F magnetic resonance imaging2017
Author(s)
Tomohiro HIGASHINO, Hirotaka NAKATSUJI, Ryosuke FUKUDA, Haruki OKAMOTO, Hirohiko IMAI, Tetsuya Matsuda*, Hidehito TOCHIO, Masahiro SHIRAKAWA*, Nikolai V. TKACHENKO, Mitsuru HASHIDA, Tatsuya MURAKAMI*, and Hiroshi IMAHORI*
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Journal Title
Chembiochem
Volume: -
Issue: 10
Pages: 951-959
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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[Presentation] Significance of cell-specific precise computer simulation using new mathematical models of human induced pluripotent stem cell derived cardiomyocyte in drug testing2018
Author(s)
Hirohiko Kohjitani, Shigeya Kouda, Yukiko Himeno, Takeru Makiyama, Fumika Yokoi, Sayako Hirose, Yimin Wuriyanghai, Yuta Yamamoto, Minoru Horie, Takeshi Kimura, Akinori Noma, Akira Amano
Organizer
European Society of Cardiology Congress 2018 (ESC2018)
Related Report
Int'l Joint Research
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