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Journal of Biomedical Optics

Image quality improvement via spatial deconvolution in optical tomography: time-series imaging
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Paper Abstract

We present the fourth in a series of studies devoted to the issue of improving image quality in diffuse optical tomography (DOT) by using a spatial deconvolution operation that seeks to compensate for the information-blurring property of first-order perturbation algorithms. Our earlier reports consider only static target media. Here we report spatial deconvolution applied to media with time-varying optical properties, as a model of tissue dynamics resulting from varying metabolic demand and modulation of the vascular bed. Issues under study include the influence of deconvolution on the accuracy of the recovered temporal and spatial information. The impact of noise is also explored, and techniques for ameliorating its information-degrading effects are examined. At low noise levels (i.e, ≤5% of the time-varying signal amplitude), spatial deconvolution markedly improves the accuracy of recovered information. Temporal information is more seriously degraded by noise than is spatial information, and the impact of noise increases with the complexity of the time-varying signal. These effects, however, can be significantly reduced using simple noise suppression techniques (e.g., low-pass filtering). Results suggest that the deconvolution scheme should provide considerable enhancement of the quality of spatiotemporal information recovered from dynamic DOT techniques applied to tissue studies.

Paper Details

Date Published: 1 September 2005
PDF: 12 pages
J. Biomed. Opt. 10(5) 051701 doi: 10.1117/1.2103747
Published in: Journal of Biomedical Optics Volume 10, Issue 5
Show Author Affiliations
Yong Xu, SUNY/Downstate Medical Ctr. (United States)
Yaling Pei, NIRx Medical Technologies (United States)
Harry L. Graber, SUNY/Downstate Medical Ctr. (United States)
Randall Locke Barbour, NIRx Medical Technologies (United States)

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