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

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

doi:10.1109/IEMBS.2007.4353603

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages	5547-5550
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2007.4353603
Publication status	Published - 2007
Externally published	Yes
Event	29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France Duration: Aug 23 2007 → Aug 26 2007

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)	0589-1019

Conference

Conference	29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Country/Territory	France
City	Lyon
Period	8/23/07 → 8/26/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Biomedical Engineering

Access to Document

10.1109/IEMBS.2007.4353603

Cite this

Lu, C. F., Chou, Y. C., Guo, W. Y., & Wu, Y. T. (2007). Brain MR perfusion image segmentation using independent component analysis and hierarchical clustering. In 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 (pp. 5547-5550). Article 4353603 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2007.4353603

Brain MR perfusion image segmentation using independent component analysis and hierarchical clustering. / Lu, Chia Fung; Chou, Yen Chun; Guo, Wan Yuo et al.
29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. 2007. p. 5547-5550 4353603 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lu, CF, Chou, YC, Guo, WY & Wu, YT 2007, Brain MR perfusion image segmentation using independent component analysis and hierarchical clustering. in 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07., 4353603, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, pp. 5547-5550, 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07, Lyon, France, 8/23/07. https://doi.org/10.1109/IEMBS.2007.4353603

Lu CF, Chou YC, Guo WY, Wu YT. Brain MR perfusion image segmentation using independent component analysis and hierarchical clustering. In 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. 2007. p. 5547-5550. 4353603. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). doi: 10.1109/IEMBS.2007.4353603

Lu, Chia Fung ; Chou, Yen Chun ; Guo, Wan Yuo et al. / Brain MR perfusion image segmentation using independent component analysis and hierarchical clustering. 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. 2007. pp. 5547-5550 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

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title = "Brain MR perfusion image segmentation using independent component analysis and hierarchical clustering",

abstract = "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.",

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

Abstract

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Conference

UN SDGs

ASJC Scopus subject areas

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