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Fast visual field measurement using the variational Bayes linear regression

Research Project

Project/Area Number 17K11418
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Ophthalmology
Research InstitutionThe University of Tokyo

Principal Investigator

Asaoka Ryo  東京大学, 医学部附属病院, 助教 (00362202)

Project Period (FY) 2017-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Keywords視野 / 高速視野測定 / 深層学習 / 緑内障
Outline of Final Research Achievements

eyes of 45 patients with open angle glaucoma. Visual field measurement was carried out using the conventional SITA standard algorithm and the variational Bayes linear regression model using . As a result, the measurement duration with the latter was 5.4±1.7 minutes which was significantly shorter than that with SITA standard.(p<0.001)

Pre-training was conducted using 10-2 visual field of 772 eyes. Then, using optical coherence tomography measurements from 86 eyes of 43 normal subjects and 505 eyes of 304 patients with open angle glaucoma, 10-2 visual field was predicted using the convolutional neural network The prediction error with root mean squared error was 6.32 ± 3.76 dB.

Academic Significance and Societal Importance of the Research Achievements

緑内障患者において、variational Bayes linear regressionを用いて視野を推測しつつ測定することで、無駄な視標提示を省き、視野を高速に測定することが可能となった。また10-2視野を、光干渉断層計による網膜層厚から畳み込みニューラルネットワークを用いて推測することが可能となった。

Report

(4 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • 2017 Research-status Report
  • Research Products

    (35 results)

All 2020 2019 2018 2017 Other

All Int'l Joint Research (7 results) Journal Article (12 results) (of which Int'l Joint Research: 7 results,  Peer Reviewed: 12 results,  Open Access: 5 results) Presentation (15 results) (of which Int'l Joint Research: 8 results,  Invited: 6 results) Patent(Industrial Property Rights) (1 results)

  • [Int'l Joint Research] カリフォルニア大学サンディエゴ校(米国)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] メルボルン大学(オーストラリア)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] Moorfields Eye Hospital(英国)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] University of California, San Diego/University of Tennessee(米国)

    • Related Report
      2018 Research-status Report
  • [Int'l Joint Research] Moorfields Eye Hospital(英国)

    • Related Report
      2018 Research-status Report
  • [Int'l Joint Research] University of California, San Diego(米国)

    • Related Report
      2017 Research-status Report
  • [Int'l Joint Research] Moorfields Eye Hospital(英国)

    • Related Report
      2017 Research-status Report
  • [Journal Article] The usefulness of the Deep Learning method of variational autoencoder to reduce measurement noise in glaucomatous visual fields2020

    • Author(s)
      8.Asaoka R (Corresponding author), Murata H, Asano S, Matsuura M, Fujino Y, Miki A, Tanito M, Mizoue S, Mori K, Suzuki K, Yamashita T, Kashiwagi K, Shoji N.
    • Journal Title

      Sci Rep

      Volume: in press

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] The usefulness of data augmentation for visual field trend analyses in glaucoma patients.2020

    • Author(s)
      Asaoka R, Murata H, Matsuura M, Fujino Y, Miki A, Tanito M, Mizoue S, Mori K, Suzuki K, Yamashita T, Kashiwagi K, Nobuyuki Shoji N
    • Journal Title

      Br J Ophthalmol

      Volume: in press

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Improving structure-function relationship in glaucomatous visual fields by using a Deep Learning-based noise reduction approach2020

    • Author(s)
      Asaoka R, Murata H, Matsuura M, Fujino Y, Yanagisawa M, Yamashita T.
    • Journal Title

      Ophthalmology Glaucoma

      Volume: ** Issue: 3 Pages: 210-217

    • DOI

      10.1016/j.ogla.2020.01.001

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Predicting Humphrey 10-2 visual field from 24-2 visual field in eyes with advanced glaucoma2020

    • Author(s)
      Sugisaki K, Asaoka R, Inoue T, Yoshikawa K, Kanamori A, Yamazaki Y, Ishikawa S, Nemoto H, Iwase A, Araie M
    • Journal Title

      Br J Ophthalmol

      Volume: in press Issue: 5 Pages: 642-647

    • DOI

      10.1136/bjophthalmol-2019-314170

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Estimating the reliability of glaucomatous visual field for the accurate assessment of progression using the gaze tracking and reliability indices2019

    • Author(s)
      Asaoka R, Fujino Y, Aoki S, Matsuura M, Murata H
    • Journal Title

      Ophthalmology Glaucoma

      Volume: in press

    • Related Report
      2018 Research-status Report
    • Peer Reviewed
  • [Journal Article] Early Detection of Glaucomatous Visual Field Progression Using Pointwise Linear Regression With Binomial Test in the Central 10 Degrees.2019

    • Author(s)
      Asano S, Murata H, Matsuura M, Fujino Y, Asaoka R
    • Journal Title

      Am J Ophthalmol

      Volume: 199 Pages: 140-149

    • DOI

      10.1016/j.ajo.2018.11.004

    • Related Report
      2018 Research-status Report
    • Peer Reviewed
  • [Journal Article] Using Deep Learning and transform learning to accurately diagnose early-onset glaucoma from macular optical coherence tomography images.2018

    • Author(s)
      Asaoka R, Murata H, Hirasawa K, Fujino Y, Matsuura M, Miki A, Kanamoto T, Ikeda Y, Mori K, Iwase A, Shoji N, Inoue K, Yamagami J, Araie M.
    • Journal Title

      American Journal of Ophthalmlogy

      Volume: 198 Pages: 136-145

    • DOI

      10.1016/j.ajo.2018.10.007

    • Related Report
      2019 Annual Research Report 2018 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Development of a deep residual learning algorithm to screen for glaucoma from fundus photography.2018

    • Author(s)
      Shibata N, Tanito M, Mitsuhashi K, Fujino Y, Matsuura M, Murata H, Asaoka R
    • Journal Title

      Scientific Reports

      Volume: 2 Issue: 1 Pages: 14665-14665

    • DOI

      10.1038/s41598-018-33013-w

    • Related Report
      2018 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning.2018

    • Author(s)
      Yousefi S, Kiwaki T, Zheng Y, Sugiura H, Asaoka R, Murata H, Lemij H, Yamanishi K
    • Journal Title

      Am J Ophthalmol

      Volume: 193 Pages: 71-79

    • DOI

      10.1016/j.ajo.2018.06.007

    • Related Report
      2018 Research-status Report
    • Peer Reviewed
  • [Journal Article] Validating Variational Bayes Linear Regression Method With Multi-Central Datasets2018

    • Author(s)
      村田博史、Linda M. Zangwill、藤野友里、松浦将人、三木篤也 、平澤一法、谷戸正樹、溝上史郎、森和彦、鈴木克佳、山下高明、柏木賢治、庄司信行、朝岡亮
    • Journal Title

      Invest Ophthalmol Vis Sci

      Volume: 59 Issue: 5 Pages: 1897-1897

    • DOI

      10.1167/iovs.17-22907

    • Related Report
      2017 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Asymmetric Patterns of Visual Field Defect in Primary Open-Angle and Primary Angle-Closure Glaucoma2018

    • Author(s)
      Yousefi S、酒井寛、村田博史、藤野友里、Garway-Heath D, Weinreb R,、朝岡亮
    • Journal Title

      Invest Ophthalmol Vis Sci

      Volume: 59 Issue: 3 Pages: 1279-1287

    • DOI

      10.1167/iovs.17-22980

    • Related Report
      2017 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Evaluating the Usefulness of MP-3 Microperimetry in Glaucoma Patients2018

    • Author(s)
      松浦将人、村田博史、藤野友里、平澤一法、柳沢美依子、朝岡亮
    • Journal Title

      Am J Ophthalmol

      Volume: 187 Pages: 1-9

    • DOI

      10.1016/j.ajo.2017.12.002

    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Presentation] Variational Bayesを用いた視野測定アルゴリズム2019

    • Author(s)
      村田博史、藤野友里、松浦将人、島田賢、朝岡亮
    • Organizer
      第73回日本臨床眼科学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Developing a deep learning algorithm to automatically diagnose glaucoma from a fundus photograph2019

    • Author(s)
      Ryo Asaoka, Naoto Shibata, Keita Mitsuhashi, Yuri Fujino, Masato Matsuura, Hiroshi Murata, Masaki Tanito
    • Organizer
      36th World Ophthalmology Congress
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 緑内障診療へのAI応用の可能性2019

    • Author(s)
      朝岡亮
    • Organizer
      第123回日本眼科学会総会
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Presentation] AI in OCT: Detection of Early Glaucoma2019

    • Author(s)
      Ryo Asaoka
    • Organizer
      33rd Asia-Pacific Academy of Ophthalmology
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] 緑内障におけるAI活用2019

    • Author(s)
      朝岡亮
    • Organizer
      第29回日本緑内障学会
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Presentation] 機能評価面からみた前視野緑内障2018

    • Author(s)
      朝岡亮
    • Organizer
      日本臨床眼科学会
    • Related Report
      2018 Research-status Report
    • Invited
  • [Presentation] 「これからの緑内障におけるAI活用」緑内障におけるAI活用2018

    • Author(s)
      朝岡亮
    • Organizer
      日本緑内障学会
    • Related Report
      2018 Research-status Report
    • Invited
  • [Presentation] Developing a deep learning algorithm to automatically diagnose glaucoma from a fundus photograph2018

    • Author(s)
      Ryo Asaoka, Naoto Shibata, Keita Mitsuhashi, Yuri Fujino, Masato Matsuura, Hiroshi Murata, Masaki Tanito
    • Organizer
      World Ophthalmology Congress
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Variational Bayes Linear Regression Model and Validating It with 10-2 Visual Fields2018

    • Author(s)
      Hiroshi Muratya
    • Organizer
      World Ophthalmology Congress
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Evaluating the usefulness of MP-3 microperimetry in glaucoma patients2018

    • Author(s)
      16.Masato Matsuura, Hiroshi Murata, Yuri Fujino, Kazunori Hirasawa, Mieko Yanagisawa, Nobuyuki Shoji, Ryo Asaoka
    • Organizer
      International Visual Field and Imaging Symposium
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Comparison of the tests to detect glaucomatous visual field progression2017

    • Author(s)
      Asaoka Ryo, Yousefi Siamak, Murata Hiroshi, Fujino Yuri
    • Organizer
      European Society of Ophthalmology meeting
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] 変分ベイズ回帰の予測精度を外部データを用いて検証する2017

    • Author(s)
      村田博史、Linda M. Zangwill、朝岡亮
    • Organizer
      第6回日本視野学会学術集会
    • Related Report
      2017 Research-status Report
  • [Presentation] 緑内障の視野:今後の展開 視野予測update2017

    • Author(s)
      朝岡亮
    • Organizer
      第121回日本眼科学会総会
    • Related Report
      2017 Research-status Report
    • Invited
  • [Presentation] Verification of the variational Bayes linear regression using the DIGS and the UKGTS datasets2017

    • Author(s)
      Murata Hiroshi, Fujino Yuri, Zangwill Linda M, Garway-Heath David, Asaoka Ryo
    • Organizer
      annual meeting of the Association for Research in Vision and Ophthalmology
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] The influence of infrequent testing on detecting glaucomatous visual field progression2017

    • Author(s)
      Anderson Andrew J, Asokan Rashima, Murata Hiroshi, Asaoka Ryo
    • Organizer
      annual meeting of the Association for Research in Vision and Ophthalmology
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Patent(Industrial Property Rights)] 視野感度推定装置、視野感度推定装置の制御方法、及びプログラム2019

    • Inventor(s)
      山西健司,朝岡亮,村田博史
    • Industrial Property Rights Holder
      山西健司,朝岡亮,村田博史
    • Industrial Property Rights Type
      特許
    • Filing Date
      2019
    • Related Report
      2019 Annual Research Report

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Published: 2017-04-28   Modified: 2022-02-22  

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