Paper
21 May 1999 Segmentation of acute pyelonephritis area on kidney SPECT images using binary shape analysis
Chia-Hsiang Wu, Yung-Nien Sun, Nan-Tsing Chiu
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chia-Hsiang Wu, Yung-Nien Sun, and Nan-Tsing Chiu "Segmentation of acute pyelonephritis area on kidney SPECT images using binary shape analysis", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348495
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Cited by 2 scholarly publications.
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KEYWORDS
Kidney

Image segmentation

Binary data

Single photon emission computed tomography

Shape analysis

Information technology

Computer science

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