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Proceedings Paper

Segmentation of acute pyelonephritis area on kidney SPECT images using binary shape analysis
Author(s): Chia-Hsiang Wu; Yung-Nien Sun; Nan-Tsing Chiu
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Paper Abstract

Acute pyelonephritis is a serious disease in children that may result in irreversible renal scarring. The ability to localize the site of urinary tract infection and the extent of acute pyelonephritis has considerable clinical importance. In this paper, we are devoted to segment the acute pyelonephritis area from kidney SPECT images. A two-step algorithm is proposed. First, the original images are translated into binary versions by automatic thresholding. Then the acute pyelonephritis areas are located by finding convex deficiencies in the obtained binary images. This work gives important diagnosis information for physicians and improves the quality of medical care for children acute pyelonephritis disease.

Paper Details

Date Published: 21 May 1999
PDF: 8 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348495
Show Author Affiliations
Chia-Hsiang Wu, National Cheng Kung Univ. (Taiwan)
Yung-Nien Sun, National Cheng Kung Univ. (Taiwan)
Nan-Tsing Chiu, National Cheng Kung Univ. Hospital (Taiwan)

Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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