Segmentation-Based Quantification of Brain SWI for Predicting the Stroke Evolution

Ping-Huei Tsai, Chia-Yuen Chen, Chin I. Chen, Fong Y. Tsai, Hsiao Wen Chung, Wing P. Chan

研究成果: 會議貢獻類型論文同行評審

摘要

The aim of this study is using an auto segmentation method based on data clustering to investigate the symmetry of brain SWI in normal subjects and facilitate the quantification of the asymmetric distribution of the deoxygenated vessels in patients with acute ischemic stroke for a better prediction of the evolution. Our preliminary finding demonstrates that the proposed method provides objective information for evaluation of the patients, and may have a potential to contribute to determining the penumbra and predicting of the stroke prognosis, as well as the following treatment.
原文英語
出版狀態已發佈 - 4月 2013
事件ISMRM 21st Annual Meeting - Salt Lake City, 美國
持續時間: 4月 20 20134月 26 2013
https://www.ismrm.org/13/

會議

會議ISMRM 21st Annual Meeting
國家/地區美國
城市Salt Lake City
期間4/20/134/26/13
網際網路位址

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