Paper
15 July 1999 Direct object localization and characterization from diffuse photon-density wave data
Author Affiliations +
Proceedings Volume 3597, Optical Tomography and Spectroscopy of Tissue III; (1999) https://doi.org/10.1117/12.356787
Event: BiOS '99 International Biomedical Optics Symposium, 1999, San Jose, CA, United States
Abstract
In this paper we consider new methods for localizing and characterizing the structure of an anomalous areas embedded in an overall region of interest given sparse observations of diffuse photon density wavefields. Unlike traditional techniques which use the scattered field measurements first to form an image of the full region and then post-process the resulting reconstruction to localize areas of interest, our approach finds anomalies directly from the data. To accomplish this, we model the unknowns as a superposition of a slowly varying perturbation on a background of unknown structure. We assume that the perturbation is delineated from the background by a smooth perimeter which is modeled as a spline curve of unknown knot sequence. A greedy-type approach is employed to deform the curve in a manner which optimizes a cost function enforcing both consistency with the data along with a regularization term designed to reflect prior information we have concerning the likely structure of anomalies. As the algorithm progresses, we adaptively determine the optimal weighting coefficients describing both the texture of the anomaly as well as that of the background. Examples of this approach are provided for a diffuse photon density wave problem arising in a bio-imaging application.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Misha E. Kilmer, Eric L. Miller, David A. Boas, Dana H. Brooks, Charles A. DiMarzio, and Richard J. Gaudette "Direct object localization and characterization from diffuse photon-density wave data", Proc. SPIE 3597, Optical Tomography and Spectroscopy of Tissue III, (15 July 1999); https://doi.org/10.1117/12.356787
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Cited by 5 scholarly publications.
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KEYWORDS
Data modeling

Diffuse photon density waves

Receivers

Solids

Absorption

Image processing

Matrices

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