Automatic quantification of crypt architecture in ex vivo gastrointestinal epithelium for high-resolution microendoscopic

Hao Li; Luyao Wang; Hao Liu; Heng Xie; Yuqing Wu; Xingqun Zhao; Xin An; Guoxin Li

doi:10.1117/12.2502831

9 August 2018 Automatic quantification of crypt architecture in ex vivo gastrointestinal epithelium for high-resolution microendoscopic

Hao Li, Luyao Wang, Hao Liu, Heng Xie, Yuqing Wu, Xingqun Zhao, Xin An, Guoxin Li

Author Affiliations +

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080658 (2018) https://doi.org/10.1117/12.2502831
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

High-resolution microendoscopy based on the fiber bundle has been showing immense potential to early detection of precancerous and cancerous lesions in gastrointestinal epithelium, especially for low-resource areas in China. However, obtaining clinical benefit from microendoscopic diagnosis usually remains in the hands of experts. Quantitative analysis focusing on computer-aided detection is therefore receiving attention as an attractive tool. In this paper, we present an automatic quantification method of crypts in gastrointestinal epithelium for high-resolution microendoscopic images, which is composed of four modules: filtering, contrast enhancement, crypt segmentation and morphologic quantification of crypts. The preliminary experiments on ex vivo image data indicate that the proposed method is effective for crypt segmentation from microendoscopic images with low-contrast, and quantitation of well-defined clinical features, which has a potential in future computer-aided diagnostic systems by revealing the morphologic characteristics of crypts at various clinical stages. The proposed method also enables instant processing. Thus, it may be a powerful tool for assisting endoscopists in real-time interpretation of high-resolution microendoscopic images, with high accuracy and consistent diagnosis. Furthermore, we are testing the method on larger gastrointestinal epithelium images and in vivo high-resolution microendoscopic images, and will integrate this work into a computer-aided diagnostic system.

Citation Download Citation

Hao Li, Luyao Wang, Hao Liu, Heng Xie, Yuqing Wu, Xingqun Zhao, Xin An, and Guoxin Li "Automatic quantification of crypt architecture in ex vivo gastrointestinal epithelium for high-resolution microendoscopic ", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080658 (9 August 2018); https://doi.org/10.1117/12.2502831

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Image filtering

Image processing

Computing systems

Tissues

Computer aided diagnosis and therapy

Endoscopy

Show All Keywords

Keywords/Phrases

Search In:

Publication Years