Predicting perceived exertion during high-intensity exercise using quantitative MRI: insights from T2* value and muscle cross-sectional area.
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| Title: | Predicting perceived exertion during high-intensity exercise using quantitative MRI: insights from T2* value and muscle cross-sectional area. |
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| Authors: | Shibukawa S; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan. shuhei.shibu@gmail.com.; Department of Radiology, Tokyo Medical University, Sinjuku-ku, Tokyo, Japan. shuhei.shibu@gmail.com.; Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Meguro-ku, Tokyo, Japan. shuhei.shibu@gmail.com., Yoshimaru D; Division of Regenerative Medicine, Jikei University School of Medicine, Minato, Japan., Hiyama Y; Faculty of Health Science, Department of Physical Therapy, Juntendo University, Tokyo, Japan., Saho T; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan.; Department of Radiological Technology, Kokura Memorial Hospital, Fukuoka, Japan., Ozawa T; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan., Usui K; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan., Goto M; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan., Sakamoto H; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan., Kyogoku S; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan., Daida H; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Bunkyo-Ku, Tokyo, Japan. |
| Source: | Radiological physics and technology [Radiol Phys Technol] 2025 Sep; Vol. 18 (3), pp. 746-755. Date of Electronic Publication: 2025 Jun 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Japan Country of Publication: Japan NLM ID: 101467995 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1865-0341 (Electronic) Linking ISSN: 18650333 NLM ISO Abbreviation: Radiol Phys Technol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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