Rchr
J-GLOBAL ID:200901007599937458   Update date: Oct. 25, 2024

Yamaguchi Tadashi

ヤマグチ タダシ | Yamaguchi Tadashi
Affiliation and department:
Job title: Professor
Other affiliations (2):
Homepage URL  (2): http://www.cfme.chiba-u.jp/~umi/index.htmlhttp://www.cfme.chiba-u.jp/~umi/index_e.html
Research field  (3): Biomaterials ,  Biomedical engineering ,  Medical systems
Research keywords  (1): Ultrasound, Quantitative diagnosis, Tissue Characterization, Standardization, Signal Processing, Diagnosis support, Treatment support, Acoustic Characteristic
Research theme for competitive and other funds  (43):
  • 2024 - 2029 Creation of ultrasound pathology based on biological wave physical properties
  • 2023 - 2026 Non-invasive quantitative evaluation of liver diseases using comprehensive biophysical properties database as basis for ultrasound pathology
  • 2023 - 2026 Non-invasive quantitative evaluation of liver diseases using comprehensive biophysical properties database as basis for ultrasound pathology
  • 2022 - 2026 Non-invasive three-dimensional real-time in vivo tissue characterization of lymph nodes
  • 2021 - 2024 超音波レオロジー理論を用いた脂肪性肝障害の病態解明と非侵襲的組織診断法の確立
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Papers (148):
  • Shohei Mori, Mototaka Arakawa, Tadashi Yamaguchi, Hiroshi Kanai, Hiroyuki Hachiya. Appropriate indicator of modeling error for threshold-based model selection in statistics-based ultrasound tissue characterization. Japanese Journal of Applied Physics. 2024. 63. 5. 05SP03-05SP03
  • Kazuki Tamura, Kazuyo Ito, Riwa Kishimoto, Kenji Yoshida, Takashi Kishimoto, Takayuki Obata, Tadashi Yamaguchi. The Effect of Steatosis on Shear-Wave Velocity and Viscoelastic Properties Related to Liver Fibrosis Progression in Rat Models. Ultrasound in medicine & biology. 2024. 50. 4. 592-599
  • K. Yoshida, M. Omura, K. Tamura, S. Hirata, T. Yamaguchi. Detection of individual microbubbles by burst-wave-aided contrast-enhanced active Doppler ultrasonography. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 2024. 1-1
  • Akiho Isshiki, Dar-In Tai, Po-Hsiang Tsui, Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata. Convolutional Neural Network Classification of Liver Fibrosis Stages Using Ultrasonic Images Colorized by Features of Echo-Envelope Statistics. Medical Imaging and Computer-Aided Diagnosis. 2023. 441-451
  • Yuki Ujihara, Kazuki Tamura, Shohei Mori, Dar-In Tai, Po-Hsiang Tsui, Shinnosuke Hirata, Kenji Yoshida, Hitoshi Maruyama, Tadashi Yamaguchi. Modified multi-Rayleigh model-based statistical analysis of ultrasound envelope for quantification of liver steatosis and fibrosis. Journal of Medical Ultrasonics. 2023
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MISC (569):
  • 白井麻美, ZHANG Tingzhen, 森翔平, 平田慎之介, 吉田憲司, 山口匡. Basic verification of tissue discrimination ability in the liver in high-frequency multicomponent amplitude envelope characteristics analysis. 超音波医学 Supplement. 2024. 51
  • 森翔平, 平田慎之介, 荒川元孝, 荒川元孝, 山口匡, 金井浩, 金井浩, 蜂屋弘之. Quantitative evaluation method for liver fibrosis by multi-Rayleigh model-based statistical analysis of echo envelope. 超音波医学 Supplement. 2024. 51
  • 氏原裕貴, 田村和輝, 森翔平, 平田慎之介, 吉田憲司, 山口匡. Verification of accuracy of determination of the number of components of echo signal in medium with various types of scatterers. 日本音響学会研究発表会講演論文集(CD-ROM). 2022. 2022
  • 氏原裕貴, 田村和輝, 森翔平, TAI Dar-In, TSUI Po-Hsiang, 平田慎之介, 吉田憲司, 山口匡. Individual evaluation of fat and fiber in NASH liver by amplitude envelope statistics analysis. 超音波医学 Supplement. 2022. 49
  • 氏原裕貴, 田村和輝, 森翔平, 平田慎之介, 吉田憲司, 山口匡. Investigation of improving the accuracy of amplitude envelope statistics by eliminating the transmitting/receiving sound field characteristics. 日本音響学会研究発表会講演論文集(CD-ROM). 2022. 2022
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Patents (7):
Lectures and oral presentations  (433):
  • 凍結標本を対象とした生体音速評価の現状と課題
    (2023)
  • 皮下組織の散乱特性評価へのアニュラアレイの適用
    (2023)
  • 動的造影超音波法への特異値分解フィルタの適用
    (2023)
  • Comparison of deep learning algorithms for quantitative diagnosis of fatty liver using multidimensional-moments heatmaps
    (Acoustics 2023 (Sydney) 2023)
  • Evaluation backscattering coefficients of heterogeneous media containing multispecies scatterers and lipids
    (Acoustics 2023 (Sydney) 2023)
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Education (3):
  • 1998 - 2001 Chiba University Graduate School of Science and Technology Division of Information Science
  • 1996 - 1998 Chiba University Graduate School of Science and Technology Division of Information Science
  • 1993 - 1996 Chiba University Faculty of Engineering Department of Information Engineering
Professional career (1):
  • Ph.D
Work history (4):
  • 2013/12 - 現在 Chiba University Center for Frontier Medical Engineering Professor
  • 2008/01 - 2013/12 Chiba University Research Center for Frontier Medical Engineering Associate Professor
  • 2007/04 - 2008/01 Chiba University Department of Information, Processing and Computer Science, Graduate School of Advanced Integration Science Assistant Professor
  • 2001/04 - 2007/03 Chiba University Department of Information and Image Science, Faculty of Engineering Assistant Professor
Committee career (36):
  • 2024/06 - 現在 日本超音波医学会 地方会委員会 委員
  • 2024/06 - 現在 日本超音波医学会 学術集会委員会 委員
  • 2024/06 - 現在 日本超音波医学会 理事
  • 2024/04 - 現在 日本超音波医学会 基礎技術研究会 代表
  • 2023/05 - 現在 日本音響学会 評議員
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Awards (50):
  • 2022/05 - The Japan Society of Ultrasonics in Medicie Kudo Award
  • 2022/03 - 計測自動制御学会 優秀学生賞
  • 2022/03 - 日本音響学会 2022年春季研究発表会 学生優秀賞 ラット臓器の凍結試料における音速評価精度の検討
  • 2021/09 - 日本音響学会 2021年秋季研究発表会 学生優秀賞 後方散乱特性解析における送受信音場と組織構造の関係性の検証
  • 2020/03 - 千葉大学 学長表彰
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Association Membership(s) (9):
信号処理学会 ,  海洋音響学会 ,  日本超音波医学会 ,  IEEE ,  電子情報通信学会 ,  日本音響学会 ,  The Acoustical Society of America ,  The Japanese Society of Medical Imaging Technology ,  apanese Society for Medical Engineering
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