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Polyp 3D Shape Information Acquisition from Endoscopic Images for Computer-Aided Diagnosis

Research Project

Project/Area Number 19K24370
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeMulti-year Fund
Review Section 1002:Human informatics, applied informatics and related fields
Research InstitutionChubu University

Principal Investigator

Usami Hiroyasu  中部大学, 工学部, 助教 (10847669)

Project Period (FY) 2019-08-30 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Keywords内視鏡支援システム / 3次元形状情報獲得 / 医用画像処理 / Deep Learning / 血管領域抽出 / 敵対的生成ネットワーク / Shape from Shading / 内視鏡医療支援システム / 画像生成 / ポリープ3次元形状情報獲得 / 潜在的幾何情報 / Medical Image Processing / Computer Vision / Computer-aided Diagnosis / Endoscopy
Outline of Research at the Start

我が国における大腸癌罹患者数は増加の一途を辿っており,診断支援を目的とした医用画像処理技術の確立が求められている.ポリープの形状は,悪性腫瘍の場合ではその形態形成に大きく起因し,診断時の重要な情報となる.また,内視鏡による術式は,開腹手術を伴う術式に比べ,身体への負担が軽く,優れるが,大腸は胃や食道に比べて腸管の壁が薄いため技術的な難易度が高く,ポリープの正確な3次元形状情報を医師に提供することは手術成功率向上に不可分の関係にある.本研究は,血管の形状等の潜在的幾何情報と光学的制約を基礎とした(SfS:Shape from Shading)を融合させる新たな3次元形状情報獲得手法の研究を行う.

Outline of Final Research Achievements

This research established the basis of a new method for acquiring the 3D shape by integrating the latent blood vessel's geometric information and optical constraints.
Construct a neural network for extracting blood vessel regions from endoscopic images and developed an accurate method for analyzing blood vessel structures from the extracted vessel regions. As a result, by focusing on the flow rate of the blood flow that constitutes the blood vessel, the blood vessel's geometric information was obtained correctly by attention to the region consistent with the mainstream and the blood vessel branch. Finally, realized the optical reflection coefficient necessary for the optical shape restoration method was obtained by utilizing the geometric information of the blood vessel as a clue.
Research results have been published in academic journals and international conferences, and a patent application is in progress.

Academic Significance and Societal Importance of the Research Achievements

悪性腫瘍は,その形態形成に大きく起因し,診断時の重要な情報となる.また,内視鏡による術式は,開腹手術を伴う術式に比べ,身体への負担が軽く,優れるが,大腸は胃や食道に比べて腸管の壁が薄いため技術的な難易度が高く,ポリープの正確な3次元形状情報を獲得することは手術成功率向上に不可分の関係にある.
CT・MRIによる臓器の形状情報獲得手段が挙げられるが,大腸の場合では蠕動運動等の要因から,正確な情報獲得が困難である. 本研究は,一般的な内視鏡画像を対象とし,血管等の潜在的幾何情報と光学的制約を融合させる新たなポリープ3次元形状情報獲得手法の研究開発を行なった点で学術的意義ならびに社会的意義が高い.

Report

(3 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • Research Products

    (25 results)

All 2021 2020 2019 Other

All Int'l Joint Research (5 results) Journal Article (3 results) (of which Int'l Joint Research: 3 results,  Peer Reviewed: 3 results) Presentation (14 results) (of which Int'l Joint Research: 3 results,  Invited: 2 results) Remarks (3 results)

  • [Int'l Joint Research] Indian Institute of Technology Guwahati(インド)

    • Related Report
      2020 Annual Research Report
  • [Int'l Joint Research] Chulalongkorn University(タイ)

    • Related Report
      2020 Annual Research Report
  • [Int'l Joint Research] Harbin Univ. of Science and Technology(中国)

    • Related Report
      2020 Annual Research Report
  • [Int'l Joint Research] Indian Institute of Technology Guwahati(インド)

    • Related Report
      2019 Research-status Report
  • [Int'l Joint Research] Chulalongkorn University(タイ)

    • Related Report
      2019 Research-status Report
  • [Journal Article] Colorectal Polyp Classification Based On Latent Sharing Features Domain from Multiple Endoscopy Images2020

    • Author(s)
      Usami, H., Iwahori, Y., Adachi, Y., Bhuyan, M. K., Wang, A., Inoue, S., ... & Kasugai, K.
    • Journal Title

      Procedia Computer Science

      Volume: 176 Pages: 2507-2514

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Graph Matching Approach between Endoscope Images for Non-Rigid Motion using Blood Vessel Structure2020

    • Author(s)
      Emoto, S., Iwahori, Y., Funahashi, K., Usami, H., Ogasawara, N., & Kasugai, K.
    • Journal Title

      Procedia Computer Science

      Volume: 176 Pages: 1754-1762

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Mediastinal Lymph Node Detection using Deep Learning2019

    • Author(s)
      Jayant Singh, Yuji Iwahori, M. Bhuyan, Hiroyasu Usami, Taihei Oshiro, Yasuhiro Shimizu
    • Journal Title

      ICPRAM2020

      Volume: ICPRAM20-RP-34 Pages: 159-166

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Presentation] PoC貧乏を防ぐファクターXについて-画像処理技術からの一考察-2021

    • Author(s)
      宇佐美裕康
    • Organizer
      2021年電子情報通信学会総合大会
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] Blood Vessel Structure Analysis in Endoscopic Images for Computer-Aided Diagnosis2020

    • Author(s)
      Kato, S., Usami, H., Iwahori, Y., Okazaki, A., Kijsirikul, B., Ogasawara, N., & Kasugai, K.
    • Organizer
      9th International Congress on Advanced Applied Informatics, IEEE
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Detection of Lymph Nodes using CNN from Contrast-Enhanced CT Images2020

    • Author(s)
      Ono, T., Iwahori, Y., Usami, H., Kijsirikul, B., Bhuyan, M. K., Oshiro, T., & Shimizu, Y.
    • Organizer
      9th International Congress on Advanced Applied Informatics, IEEE
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Pore Detection from Human Skin Image using U-Net2020

    • Author(s)
      Kachi, K., Iwahori, Y., Usami, H., Fukui, S., Wang, A., & Bhuyan, M. K.
    • Organizer
      9th International Congress on Advanced Applied Informatics, IEEE
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] スタイル変換ネットワークにおける中間層を用いたポリープ有無の分類2020

    • Author(s)
      朝日一憲,岩堀祐之,宇佐美裕康,小笠原尚高,春日井邦夫
    • Organizer
      令和2年度電気・電子・情報関係学会東海支部連合大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 医用画像診断支援を目的とした内視鏡画像における血管構造解析2020

    • Author(s)
      加藤俊輔,宇佐美裕康,岩堀祐之,岡崎明彦,小笠原尚高,春日井邦夫
    • Organizer
      令和2年度電気・電子・情報関係学会東海支部連合大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 内視鏡画像の血管構造に着目したグラフマッチング手法2020

    • Author(s)
      江本峻, 岩堀祐之, 舟橋健司, 宇佐美裕康, 小笠原尚高, 春日井邦夫
    • Organizer
      第18回情報学ワークショップ(WiNF)
    • Related Report
      2020 Annual Research Report
  • [Presentation] CNNを用いた造影CT画像からのリンパ節の検出2020

    • Author(s)
      大野樹生, 岩堀祐之, 宇佐美裕康, 大城泰平, 清水泰博
    • Organizer
      MIRU 2020
    • Related Report
      2020 Annual Research Report
  • [Presentation] U-Netを用いた人の皮膚画像からの毛穴検出2020

    • Author(s)
      可知奎介, 岩堀祐之, 宇佐美裕康, 福井真二
    • Organizer
      MIRU 2020
    • Related Report
      2020 Annual Research Report
  • [Presentation] 血管構造に基づく非剛体運動のための画像マッチング手法2020

    • Author(s)
      江本峻, 岩堀祐之, 舟橋健司, 宇佐美裕康, 小笠原尚高, 春日井邦夫
    • Organizer
      MIRU 2020
    • Related Report
      2020 Annual Research Report
  • [Presentation] 内視鏡画像における良性悪性腫瘍分類のための深層学習モデル2020

    • Author(s)
      伊藤能平, 宇佐美裕康, 岩堀祐之, 小笠原尚高, 春日井邦夫
    • Organizer
      知能情報ファジィ学会東海支部
    • Related Report
      2020 Annual Research Report
  • [Presentation] 人工知能の歴史と原理 - ドラえもんは具現化するのか? -2020

    • Author(s)
      宇佐美裕康
    • Organizer
      2020年電子情報通信学会総合大会
    • Related Report
      2019 Research-status Report
    • Invited
  • [Presentation] 深度マップを用いたU-NetによるLST 型ポリープの検出2019

    • Author(s)
      宮﨑將太,岩堀祐之,宇佐美裕康,Boonserm Kijsirikul,小笠原尚高,春日井邦夫
    • Organizer
      第17回情報学ワークショップ (WiNF 2019)
    • Related Report
      2019 Research-status Report
  • [Presentation] スタイル変換ネットワークを用いた効率的なポリープ分類2019

    • Author(s)
      朝日一憲,岩堀祐之,宇佐美裕康,小笠原尚高,春日井邦夫
    • Organizer
      第17回情報学ワークショップ (WiNF 2019)
    • Related Report
      2019 Research-status Report
  • [Remarks] researchmap

    • URL

      https://researchmap.jp/usahiro

    • Related Report
      2020 Annual Research Report
  • [Remarks] Go to M. K. Bhuyan's Publication Page

    • URL

      http://www.iitg.ac.in/mkb/index/page-details.php?page=7b40ac32f1c14cfa296bea608dbbc6ab3603a367

    • Related Report
      2019 Research-status Report
  • [Remarks] Boonserm Kijsirikul' Publication Page

    • URL

      https://www.cp.eng.chula.ac.th/~boonserm/mypub.htm

    • Related Report
      2019 Research-status Report

URL: 

Published: 2019-09-03   Modified: 2022-01-27  

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