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Proceedings Paper

An image analysis system for near-infrared (NIR) fluorescence lymph imaging
Author(s): Jingdan Zhang; Shaohua Kevin Zhou; Xiaoyan Xiang; John C. Rasmussen; Eva M. Sevick-Muraca
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Paper Abstract

Quantitative analysis of lymphatic function is crucial for understanding the lymphatic system and diagnosing the associated diseases. Recently, a near-infrared (NIR) fluorescence imaging system is developed for real-time imaging lymphatic propulsion by intradermal injection of microdose of a NIR fluorophore distal to the lymphatics of interest. However, the previous analysis software3, 4 is underdeveloped, requiring extensive time and effort to analyze a NIR image sequence. In this paper, we develop a number of image processing techniques to automate the data analysis workflow, including an object tracking algorithm to stabilize the subject and remove the motion artifacts, an image representation named flow map to characterize lymphatic flow more reliably, and an automatic algorithm to compute lymph velocity and frequency of propulsion. By integrating all these techniques to a system, the analysis workflow significantly reduces the amount of required user interaction and improves the reliability of the measurement.

Paper Details

Date Published: 9 March 2011
PDF: 8 pages
Proc. SPIE 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 796513 (9 March 2011); doi: 10.1117/12.878828
Show Author Affiliations
Jingdan Zhang, Siemens Corporate Research (United States)
Shaohua Kevin Zhou, Siemens Corporate Research (United States)
Xiaoyan Xiang, Siemens Corporate Research (United States)
John C. Rasmussen, The Univ. of Texas Health Science Ctr. at Houston (United States)
Eva M. Sevick-Muraca, The Univ. of Texas Health Science Ctr. at Houston (United States)


Published in SPIE Proceedings Vol. 7965:
Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging
John B. Weaver; Robert C. Molthen, Editor(s)

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