Cortical vascular blood flow pattern by laser speckle imaging

Nan Li, Shanbao Tong, Deliang Ye, Hyunchool Shin, Nitish V. Thakor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The cortical vascular blood flow pattern is associated with the functional response in cerebral cortex. The pattern of the vascular blood flow can be used to study the spatiotemporal activities of the somatosensory center and the diagnosis of the focal stroke or ischemia. In this present study, temporal laser speckle analysis is used to obtain the cortical blood flow information. By center line modeling method based on ridge tracking, we extracted the cortical vessels. By fusing with the laser speckle contrast results, we obtained the image of the cortical vascular blood flow pattern in which both the vessels and the blood velocity can be visualized.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages3328-3331
Number of pages4
StatePublished - Dec 1 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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  • Cite this

    Li, N., Tong, S., Ye, D., Shin, H., & Thakor, N. V. (2005). Cortical vascular blood flow pattern by laser speckle imaging. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 3328-3331). [1617189] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).