A content-based image retrieval method for optical colonoscopy images based on image recognition techniques

Hirokazu Nosato; Hidenori Sakanashi; Eiichi Takahashi; Masahiro Murakawa

doi:10.1117/12.2082368

20 March 2015 A content-based image retrieval method for optical colonoscopy images based on image recognition techniques

Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, Masahiro Murakawa

Author Affiliations +

Proceedings Volume 9414, Medical Imaging 2015: Computer-Aided Diagnosis; 94141E (2015) https://doi.org/10.1117/12.2082368
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

This paper proposes a content-based image retrieval method for optical colonoscopy images that can find images similar to ones being diagnosed. Optical colonoscopy is a method of direct observation for colons and rectums to diagnose bowel diseases. It is the most common procedure for screening, surveillance and treatment. However, diagnostic accuracy for intractable inflammatory bowel diseases, such as ulcerative colitis (UC), is highly dependent on the experience and knowledge of the medical doctor, because there is considerable variety in the appearances of colonic mucosa within inflammations with UC. In order to solve this issue, this paper proposes a content-based image retrieval method based on image recognition techniques. The proposed retrieval method can find similar images from a database of images diagnosed as UC, and can potentially furnish the medical records associated with the retrieved images to assist the UC diagnosis. Within the proposed method, color histogram features and higher order local auto-correlation (HLAC) features are adopted to represent the color information and geometrical information of optical colonoscopy images, respectively. Moreover, considering various characteristics of UC colonoscopy images, such as vascular patterns and the roughness of the colonic mucosa, we also propose an image enhancement method to highlight the appearances of colonic mucosa in UC. In an experiment using 161 UC images from 32 patients, we demonstrate that our method improves the accuracy of retrieving similar UC images.

Citation Download Citation

Hirokazu Nosato, Hidenori Sakanashi, Eiichi Takahashi, and Masahiro Murakawa "A content-based image retrieval method for optical colonoscopy images based on image recognition techniques", Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94141E (20 March 2015); https://doi.org/10.1117/12.2082368

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