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Proceedings Paper

Renal segmentation in physiological feature space with dynamic contrast enhanced MR Urography: preliminary research
Author(s): Yang Tang; Hollie A. Jackson; Roger E. De Filippo; Susan Lee; Marvin D. Nelson; Rex A. Moats
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Paper Abstract

The kidney is composed of many structurally and functionally different tissues. These functionally distinct tissues exhibit different magnetic resonance signal characteristics in typical MR Urography. This work exploits the tissue functional differences to construct a physiological feature space for renal segmentation, which has the more distinct meaning for directly functional evaluation, and lower requirements for storage and computation. In this preliminary research, a segmentation method was developed and investigated to demonstrate its feasibility on images obtained using a typical MR Urograpy protocol.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971J (30 October 2009); doi: 10.1117/12.833682
Show Author Affiliations
Yang Tang, Univ. of Southern California, Los Angeles (United States)
Hollie A. Jackson, Univ. of Southern California, Los Angeles (United States)
Roger E. De Filippo, Univ. of Southern California, Los Angeles (United States)
Susan Lee, Univ. of Southern California, Los Angeles (United States)
Marvin D. Nelson, Univ. of Southern California, Los Angeles (United States)
Rex A. Moats, Univ. of Southern California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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