Literature DB >> 24827279

Fluorescence tomography of targets in a turbid medium using non-negative matrix factorization.

Binlin Wu1, S K Gayen1.   

Abstract

A near-infrared optical tomography approach for detection, three-dimensional localization, and cross-section imaging of fluorescent targets in a turbid medium is introduced. The approach uses multisource probing of targets, multidetector acquisition of diffusely transmitted fluorescence signal, and a non-negative matrix factorization based blind source separation scheme to obtain three-dimensional location of the targets. A Fourier transform back-projection algorithm provides an estimate of target cross section. The efficacy of the approach is demonstrated in an experiment involving two laterally separated small fluorescent targets embedded in a human breast tissue-simulating sample of thickness 60 times the transport mean free path. The approach could locate the targets within ∼1 mm of their known positions, and provide estimates of their cross sections. The high spatial resolution, fast reconstruction speed, noise tolerance, and ability to detect small targets are indicative of the potential of the approach for detecting and locating fluorescence contrast-enhanced breast tumors in early growth stages, when they are more amenable to treatment.

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Year:  2014        PMID: 24827279     DOI: 10.1103/PhysRevE.89.042708

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  1 in total

1.  Identifying metastatic ability of prostate cancer cell lines using native fluorescence spectroscopy and machine learning methods.

Authors:  Jianpeng Xue; Yang Pu; Jason Smith; Xin Gao; Chun Wang; Binlin Wu
Journal:  Sci Rep       Date:  2021-01-26       Impact factor: 4.379

  1 in total

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