Temporal Unmixing of Dynamic Fluorescent Images by Blind Source Separation Method with a Convex Framework
Joint Authors
Chen, Duofang
Liang, Jimin
Guo, Kui
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
By recording a time series of tomographic images, dynamic fluorescence molecular tomography (FMT) allows exploring perfusion, biodistribution, and pharmacokinetics of labeled substances in vivo.
Usually, dynamic tomographic images are first reconstructed frame by frame, and then unmixing based on principle component analysis (PCA) or independent component analysis (ICA) is performed to detect and visualize functional structures with different kinetic patterns.
PCA and ICA assume sources are statistically uncorrelated or independent and don’t perform well when correlated sources are present.
In this paper, we deduce the relationship between the measured imaging data and the kinetic patterns and present a temporal unmixing approach, which is based on nonnegative blind source separation (BSS) method with a convex analysis framework to separate the measured data.
The presented method requires no assumption on source independence or zero correlations.
Several numerical simulations and phantom experiments are conducted to investigate the performance of the proposed temporal unmixing method.
The results indicate that it is feasible to unmix the measured data before the tomographic reconstruction and the BSS based method provides better unmixing quality compared with PCA and ICA.
American Psychological Association (APA)
Chen, Duofang& Liang, Jimin& Guo, Kui. 2015. Temporal Unmixing of Dynamic Fluorescent Images by Blind Source Separation Method with a Convex Framework. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057981
Modern Language Association (MLA)
Chen, Duofang…[et al.]. Temporal Unmixing of Dynamic Fluorescent Images by Blind Source Separation Method with a Convex Framework. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1057981
American Medical Association (AMA)
Chen, Duofang& Liang, Jimin& Guo, Kui. Temporal Unmixing of Dynamic Fluorescent Images by Blind Source Separation Method with a Convex Framework. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057981
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057981