Curriculum Vitaes
Profile Information
- Affiliation
- Professor (Professor and Chairman), School of Medicine, Faculty of Medicine, Fujita Health University
- Degree
- MD, PhD(Mar, 1998, Kobe University Graduate School of Medicine)
- Contact information
- yohno
fujita-hu.ac.jp - ORCID ID
https://orcid.org/0000-0002-4431-1084- J-GLOBAL ID
- 200901037501461104
- researchmap Member ID
- 1000372100
Research Interests
6Research Areas
2Research History
3-
Apr, 2019 - May, 2023
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Apr, 2012 - Mar, 2019
Education
1-
- Mar, 1998
Committee Memberships
28-
Oct, 2024 - Present
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Jun, 2024 - Present
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Sep, 2022 - Present
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Sep, 2020 - Present
Awards
42Papers
351-
Respiratory Investigation, Sep, 2026
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Japanese Journal of Radiology, Aug 29, 2026
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Journal of Magnetic Resonance Imaging, Jun, 2026
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Japanese journal of radiology, May 20, 2026PURPOSE: Since the clinical application of computed tomography (CT), cardiac and respiratory motion artifacts have caused decreased image quality and reduced detection or quantitative or qualitative evaluation of lung parenchymal or vascular abnormalities on chest CT with lung window settings in patients with pulmonary diseases. Recently, a deep learning (DL)-based motion correction algorithm (CLEAR Motion) has been developed and clinically used for chest CT. We hypothesized that CLEAR Motion can significantly reduce motion artifacts on chest CT examinations relative to conventional chest CT images reconstructed without CLEAR Motion. The purpose of this study was to determine the utility of CLEAR Motion for image quality improvement in chest CT with lung window settings in patients with various pulmonary diseases. MATERIALS AND METHODS: Fifty-six consecutive patients with various thoracic diseases underwent non-electrocardiogram-gated chest helical CT examination using a 320-detector row CT and underwent reconstruction using the conventional reconstruction method and CLEAR Motion. To compare the quantitative image quality, the cardio-pulmonary edge distance (CPED) and slope (CPES) were measured on each CT scan in the axial plane. Comparing cardiac motion reduction capability, overall image quality, cardiac motion artifact, and region conspicuity were visually assessed in the lung window setting on the axial, coronal, and sagittal planes. The paired t-test and Wilcoxon signed-rank test were then performed. RESULTS: The CPEDs and CPESs of the entire lung and left lung on CT with CLEAR Motion were significantly superior to those of CT without CLEAR Motion (p < 0.001). The overall image quality, cardiac motion artifact, and region conspicuity on CT with CLEAR Motion were significantly higher than those without CLEAR Motion on each plane (p < 0.001). CONCLUSION: The DL-based motion correction algorithm named as 'CLEAR Motion' has a potential to improve image quality on chest CT with lung window setting in patients with pulmonary diseases.
Misc.
644-
Radiology, 299(3) 524-538, Jun 1, 2021
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Radiology, 299(3) 508-523, Jun 1, 2021
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新医療, 47(4) 24-27, Apr, 2020
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THE LUNG-perspectives, 27(2) 113-119, May, 2019
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CT検診, 26(1) 47-47, Feb, 2019
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Journal of magnetic resonance imaging : JMRI, 47(6) 1437-1458, Jun, 2018 Peer-reviewedSince the clinical introduction of magnetic resonance imaging (MRI), the chest has been one of its most challenging applications, and many physicists and radiologists have tried since the 1980s to use MR for assessment of different lung diseases as well as mediastinal and pleural diseases. Since then, however, technical advances in sequencing, scanners, and coils, adaptation of parallel imaging techniques, utilization of contrast media, and development of postprocessing tools have been reported by many basic and clinical researchers. As a result, state-of-the-art thoracic MRI is now substituted for traditional imaging techniques and/or plays a complementary role in the management of patients with various chest diseases, and especially in the detection of pulmonary nodules and in thoracic oncology. In addition, MRI has continued to be developed to help overcome the limitations of computed tomography (CT) and nuclear medicine examinations. It can currently provide not only morphological, but also functional, physiological, pathophysiological, and molecular information at 1.5T with a gradual shift from 1.5T to 3T MR systems. In this review, we focus on these recent advances in MRI for pulmonary nodule detection and pulmonary nodule and mass evaluation by using noncontrast-enhanced and contrast-enhanced techniques as well as new molecular imaging methods such as chemical exchange saturation transfer imaging for a comparison with other modalities such as single or multidetector row CT, 18F-fluoro-2-deoxyglucose positron emission tomography (FDG-PET), and/or PET/CT. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1437-1458.
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CT検診, 25(1) 50-50, Feb, 2018
Books and Other Publications
25Presentations
800-
The 6th International Congress on Magnetic Resonance Imaging (ICMRI 2018) and 23rd Scientific Meeting of KSMRM, Mar, 2018
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第25回日本CT検診学会学術集会, Feb, 2018, 日本CT検診学会 Invited
Teaching Experience
1-
イメージング (神戸大学)
Professional Memberships
18Research Projects
22-
Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2025 - Mar, 2028
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Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2025 - Mar, 2028
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科学研究費助成事業, 日本学術振興会, Apr, 2023 - Mar, 2026
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科学研究費助成事業, 日本学術振興会, Apr, 2022 - Mar, 2025
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科学研究費助成事業, 日本学術振興会, Apr, 2021 - Mar, 2024