Computer-aided diagnosis of HIE based on segmentation of MRI

Ziguang Sun; Chungui Li; Qin Wang

doi:10.1117/12.831332

30 October 2009 Computer-aided diagnosis of HIE based on segmentation of MRI

Ziguang Sun, Chungui Li, Qin Wang

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74972A (2009) https://doi.org/10.1117/12.831332
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Ziguang Sun, Chungui Li, and Qin Wang "Computer-aided diagnosis of HIE based on segmentation of MRI", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972A (30 October 2009); https://doi.org/10.1117/12.831332

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