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Proceedings Paper

Computer-aided diagnosis of HIE based on segmentation of MRI
Author(s): Ziguang Sun; Chungui Li; Qin Wang
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Paper Abstract

Computer-aided diagnosis has become one of the major research subjects in medical imaging and diagnostic radiology. Hypoxic-ischemic encephalopathy (HIE), remains a serious condition that causes significant mortality and long-term morbidity to neonates. We adopt self-organizing feature maps to segment the tissues, such as white matter and grey matter in the magnetic resonance images. The borderline between white matter and grey matter can be found and the doubtful regions along with the borderline can be localized, then the feature in doubtful regions can be quantified. The method can assist doctors to easily diagnose whether a neonate is ill with mild HIE.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972A (30 October 2009); doi: 10.1117/12.831332
Show Author Affiliations
Ziguang Sun, Guangxi Univ. of Technology (China)
Chungui Li, Guangxi Univ. of Technology (China)
Qin Wang, Guangxi Univ. of Technology (China)


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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