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Proceedings Paper

Segmentation of infarct in acute ischemic stroke from MR apparent diffusion coefficient and trace-weighted images
Author(s): Meng Li; Lin Ai; Huiguang He; Zuofeng Zheng; Bin Lv; Wenjing Li; Jianhua Yi; Xuejiao Chen
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Paper Abstract

Evidence from several previous studies indicated that apparent diffusion coefficient (ADC) map was likely to reveal brain regions belonging to the ischemic penumbra, that is, areas that may be at risk of infarction in a few hours following stroke onset. Trace map overcomes the anisotropic diffusions of ADC map, so it is superior for evaluation of an infarct involving white matter. Mean shift (MS) approach has been successfully used for image segmentation, particularly in brain MR images. The aim of the study was to develop a tool for rapid and reliable segmentation of infarct in human acute ischemic stroke based on the ADC and trace maps using the MS approach. In addition, a novel method of 3-dimensional visualization was presented to provide useful insights into volume datasets for clinical diagnosis. We applied the presented method to clinical data. The results showed that it was consistent, fast (about 8-10 minutes per subject) and indistinguishable from an expert using manual segmentation when used our tool.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971U (30 October 2009); doi: 10.1117/12.832535
Show Author Affiliations
Meng Li, Institute of Automation, CAS (China)
Lin Ai, Beijing Tiantan Hospital, Capital Medical Univ. (China)
Huiguang He, Institute of Automation, CAS (China)
Zuofeng Zheng, Beijing Tiantan Hospital, Capital Medical Univ. (China)
Bin Lv, Institute of Automation, CAS (China)
Wenjing Li, Institute of Automation, CAS (China)
Jianhua Yi, Institute of Automation, CAS (China)
Xuejiao Chen, Institute of Automation, CAS (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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