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Proceedings Paper

Robust imaging strategies in time-resolved optical tomography
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Paper Abstract

Time-resolved imaging has been well-established as the most powerful imaging paradigm in optical tomography by providing rich information datasets for both functional and fluorescence tomography. The practical implementations of time-resolved imaging platforms however are limited by lengthy acquisition times and demand highly stable instrumentation for collection of robust datasets. In recent years, wide-field imaging strategies have been implemented for time-resolved imaging allowing a fast acquisition of spatially- and temporally- rich datasets within short acquisition times. In this work, we present wide-field illumination and processing strategies which significantly improve the signal-to-noise ratio of time-resolved measurements. First, we demonstrate the impact of temporal and photon noise on timeresolved measurements and compare the performance of various born-normalization schemes designed to improve the robustness of the time-resolved data-types used for reconstruction. Secondly, we present a de-noising algorithm design for time-gated data types which reduce errors arising due to noise and conclude with experimental validation of the approach. The adoption of these strategies alleviates some of the limitations associated with time-resolved imaging, especially when using more advanced data types such as early gates, thus allowing the wider acceptance of timeresolved methods for biomedical applications.

Paper Details

Date Published: 25 March 2013
PDF: 8 pages
Proc. SPIE 8578, Optical Tomography and Spectroscopy of Tissue X, 857827 (25 March 2013); doi: 10.1117/12.2005084
Show Author Affiliations
Vivek Venugopal, Rensselaer Polytechnic Institute (United States)
Jin Chen, Rensselaer Polytechnic Institute (United States)
Xavier Intes, Rensselaer Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 8578:
Optical Tomography and Spectroscopy of Tissue X
Bruce J. Tromberg; Arjun G. Yodh; Eva Marie Sevick-Muraca, Editor(s)

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