Polyp 3D Shape Information Acquisition from Endoscopic Images for Computer-Aided Diagnosis
| Project/Area Number |
19K24370
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Multi-year Fund |
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| Review Section |
1002:Human informatics, applied informatics and related fields
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| Research Institution | Chubu University |
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Principal Investigator |
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| Project Period (FY) |
2019-08-30 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| 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)
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| 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 |
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| 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．
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| 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.
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| 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．
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Report
(3 results)
Research Products
(25 results)
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[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.
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Journal Title
Procedia Computer Science
Volume: 176
Pages: 2507-2514
Related Report
Peer Reviewed / Int'l Joint Research
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[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.
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Journal Title
Procedia Computer Science
Volume: 176
Pages: 1754-1762
Related Report
Peer Reviewed / Int'l Joint Research
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[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
Int'l Joint Research
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[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
Int'l Joint Research
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[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
Int'l Joint Research
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