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Proceedings Paper

The design and integration of retinal CAD-SR to diabetes patient ePR system
Author(s): Huiqun Wu; Yufang Wei; Brent J. Liu; Yujuan Shang; Lili Shi; Kui Jiang; Jiancheng Dong
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Paper Abstract

Diabetic retinopathy (DR) is one of the serious complications of diabetes that could lead to blindness. Digital fundus camera is often used to detect retinal changes but the diagnosis relies too much on ophthalmologist’s experience. Based on our previously developed algorithms for quantifying retinal vessels and lesions, we developed a computer aided detection-structured report (CAD-SR) template and implemented it into picture archiving and communication system (PACS). Furthermore, we mapped our CAD-SR into HL7 CDA to integrate CAD findings into diabetes patient electronic patient record (ePR) system. Such integration could provide more quantitative features from fundus image into ePR system, which is valuable for further data mining researches.

Paper Details

Date Published: 13 March 2017
PDF: 9 pages
Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 1013819 (13 March 2017); doi: 10.1117/12.2264642
Show Author Affiliations
Huiqun Wu, Medical School of Nantong Univ. (China)
Univ. of Southern California, Los Angeles (United States)
Yufang Wei, Medical School of Nantong Univ. (China)
Brent J. Liu, Univ. of Southern California, Los Angeles (United States)
Yujuan Shang, Medical School of Nantong Univ. (China)
Lili Shi, Medical School of Nantong Univ. (China)
Kui Jiang, Medical School of Nantong Univ. (China)
Jiancheng Dong, Medical School of Nantong Univ. (China)


Published in SPIE Proceedings Vol. 10138:
Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications
Tessa S. Cook; Jianguo Zhang, Editor(s)

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