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Proceedings Paper

Study of data analysis methods in functional connectivity photoacoustic tomography (fcPAT)
Author(s): Afsoon Khodaee; Mohammadreza Nasiriavanaki
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Paper Abstract

Resting-state functional connectivity (RSFC) is a method to monitor the health of the brain and find out abnormalities in brain networks. Recently functional connectivity photoacoustic tomography (fcPAT) has been used to study RSFC in the mouse brain. The current method of RSFC data analysis is called “seed-based”. This method is not data-driven, and involves user intervention. Alternative signal processing approaches, such as singular value decomposition (SVD) and independent component analysis (ICA), will be explored to complement and cross validate the seed-based approach, possibly substituting them for the seed-based method. The methods are implemented and applied on the fcPAT data of a mouse brain.

Paper Details

Date Published: 23 March 2017
PDF: 5 pages
Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 1006438 (23 March 2017); doi: 10.1117/12.2254341
Show Author Affiliations
Afsoon Khodaee, Wayne State Univ. (United States)
Mohammadreza Nasiriavanaki, Wayne State Univ. School of Medicine (United States)
Barbara Ann Karmanos Cancer Institute (United States)


Published in SPIE Proceedings Vol. 10064:
Photons Plus Ultrasound: Imaging and Sensing 2017
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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