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

Medicine

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