Brain MR perfusion image segmentation using independent component analysis and hierarchical clustering

Chia Fung Lu, Yen Chun Chou, Wan Yuo Guo, Yu Te Wu

研究成果: 書貢獻/報告類型會議貢獻

2 引文 斯高帕斯(Scopus)

摘要

Extraction of various perfusion components from dynamic-susceptibility- contrast (DSC) MR brain images is critical for the analysis of brain perfusion. According to the variation of temporal signal on different brain tissues, one can segment whole brain area into distinct blood supply patterns which are vital for the profound analysis of cerebral hemodynamics. In this study, independent component analysis (ICA) is used to project the perfusion image data into independent components from which each elucidated tissue cluster can be automatically segment out by using the hierarchical clustering (HC). Five normal subjects and a case of internal carotid artery stenosis subjects were analyzed. The results demonstrated that ICA-HC is effective in multi-tissue hemodynamic classification which improves differentiation of pathological and physiological hemodynamics.
原文英語
主出版物標題29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
頁面5547-5550
頁數4
DOIs
出版狀態已發佈 - 2007
對外發佈Yes
事件29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, 法国
持續時間: 八月 23 2007八月 26 2007

會議

會議29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
國家法国
城市Lyon
期間8/23/078/26/07

ASJC Scopus subject areas

  • Biomedical Engineering

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