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Authors: Hiroyasu Usami 1 ; Yuji Iwahori 1 ; M. Bhuyan 2 ; Aili Wang 3 ; Naotaka Ogasawara 4 and Kunio Kasugai 4

Affiliations: 1 Department of Computer Science, Chubu University, Kasugai and Japan ; 2 Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati and India ; 3 Higher Education Key Lab., Harbin University of Science and Technology, Harbin and China ; 4 Department of Gastroenterology, Aichi Medical University, Nagakute and Japan

ISBN: 978-989-758-353-7

Keyword(s): Shape from Shading, Lambertian Surface, Specular Removal, U-net, RANSAC, Colonoscopy.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Feature Recognition and Extraction Methods ; Image Processing Methods ; Medical Imaging and Diagnosis

Abstract: The shape and size of a colonic polyp is a biomarker that correlates with its risk of malignancy and guides its clinical management. It is the most accurate method for detecting polyps of all sizes, and it allows biopsy of lesions and resection of most polyps, and it is considered nowadays as the gold standard for colon screening. However, there are still open challenges to overcome, such as the reduction of the missing rate. Colonoscopy images usually consist of nonrigid objects such as a polyp, and no approaches have been proposed to recovery shape and absolute size from a single image. Hence, it is a challenging topic to reconstruct polyp shape using computer vision technique. This paper proposes a polyp shape retrieval method based on Shape from Shading (SFS), and this research contributes to mitigating constraint for applying SFS to the single colonoscopy image using vascular border information. Experiments confirmed that the proposed method recovered approximate polyp shapes.

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Paper citation in several formats:
Usami, H.; Iwahori, Y.; Bhuyan, M.; Wang, A.; Ogasawara, N. and Kasugai, K. (2019). Polyp Shape Recovery using Vascular Border from Single Colonoscopy Image.In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING: BIOIMAGING, ISBN 978-989-758-353-7, pages 104-111. DOI: 10.5220/0007379101040111

@conference{bioimaging19,
author={Hiroyasu Usami. and Yuji Iwahori. and M. K. Bhuyan. and Aili Wang. and Naotaka Ogasawara. and Kunio Kasugai.},
title={Polyp Shape Recovery using Vascular Border from Single Colonoscopy Image},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING: BIOIMAGING,},
year={2019},
pages={104-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007379101040111},
isbn={978-989-758-353-7},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2 BIOIMAGING: BIOIMAGING,
TI - Polyp Shape Recovery using Vascular Border from Single Colonoscopy Image
SN - 978-989-758-353-7
AU - Usami, H.
AU - Iwahori, Y.
AU - Bhuyan, M.
AU - Wang, A.
AU - Ogasawara, N.
AU - Kasugai, K.
PY - 2019
SP - 104
EP - 111
DO - 10.5220/0007379101040111

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