Rchr
J-GLOBAL ID：201901000770894170   Update date: May. 05, 2024

Ota Takashi

Ota Takashi
Affiliation and department：
Osaka University

About Osaka University


Research field  (1)： Radiology
Research keywords  (10)： 3D image processing ,  photon-counting detector CT ,  endometrial cancer ,  liver tumor ,  CT ,  MRI ,  dual-energy CT ,  MR elastography ,  diffusion-weighted imaging ,  Radiology
Research theme for competitive and other funds  (2)：
  • 2023 - 2026 Hepatic Iron Metabolism and Fibrosis: Analysis Using the Leading-edge Imaging Technology and Its Clinical Application
  • 2021 - 2024 Analysis of factors affecting diagnostic ability of clinical preoperative MRI in endometrial cancer.
Papers (39)：
  • Takashi Ota, Atsushi Nakamoto, Hiromitsu Onishi, Takahiro Tsuboyama, Shohei Matsumoto, Hideyuki Fukui, Koki Kaketaka, Toru Honda, Kengo Kiso, Mitsuaki Tatsumi, et al. Low-KeV Virtual Monoenergetic Dual-Energy CT with Deep Learning Reconstruction for Assessing Hepatocellular Carcinoma. Journal of Medical and Biological Engineering. 2024
  • Hideyuki Fukui, Hiromitsu Onishi, Atsushi Nakamoto, Takahiro Tsuboyama, Takashi Ota, Toru Honda, Kengo Kiso, Eriko Yoshidome, Yukihiro Enchi, Mitsuaki Tatsumi, et al. Hepatic and pancreatic extracellular volume fraction analysis using contrast-enhanced CT in patients with diabetes mellitus and pre-diabetes. Japanese Journal of Radiology. 2024
  • 中本 篤, 大西 裕満, 坪山 尚寛, 太田 崇詞, 福井 秀行, 富山 憲幸. Vantage Centurianの腹部骨盤領域における使用経験. 映像情報Medical. 2023. 55. 14. 87-92
  • Shohei Matsumoto, Takahiro Tsuboyama, Hiromitsu Onishi, Hideyuki Fukui, Toru Honda, Tetsuya Wakayama, Xinzeng Wang, Takahiro Matsui, Atsushi Nakamoto, Takashi Ota, et al. Ultra-High-Resolution T2-Weighted PROPELLER MRI of the Rectum With Deep Learning Reconstruction. Investigative Radiology. 2023
  • Atsushi Nakamoto, Hiromitsu Onishi, Takahiro Tsuboyama, Hideyuki Fukui, Takashi Ota, Kazuya Ogawa, Keigo Yano, Kengo Kiso, Toru Honda, Mitsuaki Tatsumi, et al. Image Quality and Lesion Detectability of Pancreatic Phase Thin-Slice Computed Tomography Images With a Deep Learning-Based Reconstruction Algorithm. Journal of Computer Assisted Tomography. 2023. 47. 5. 698-703
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MISC (17)：
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Lectures and oral presentations  (13)：
  • ゴーリン症候群を背景とした両側卵巣線維腫の一例
    (日本腹部放射線学会 2023)
  • Vascular anatomy for liver and kidney transplantation by using photorealistic 3D: What radiologists need to know
    (European Congress of Radiology 2023)
  • High-resolution Diffusion-weighted Imaging by Multiplexed Sensitivity Encoding for Cancer Staging in Gynecology and Genitourinary
    (RSNA Annual Meeting 2021)
  • High-resolution Diffusion-weighted Imaging in Endometrial Cancer Staging: A Comparison of Multiplexed Sensitivity Encoding versus Reduced Field-of-view Techniques.
    (RSNA Annual Meeting 2021)
  • Preoperative Photorealistic 3D Images by Global Illumination using Photon Maps: Applications in the Abdominal Imaging
    (RSNA Annual Meeting 2020)
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Education (2)：
  • 2015 - 2018 Osaka University Graduate School of Medicine
  • 2004 - 2010 Osaka Medical College
Professional career (1)：
  • Preoperative staging of endometrial cancer using reduced field-of-view diffusion-weighted imaging: a preliminary study. (Osaka University)
Awards (2)：
  • 2022/04 - 板井研究奨励賞
  • 2018/12 - RSNA2018 Certificate of Merit Award
Association Membership(s) (2)：
RSNA ,  Japan Radiological Society
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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