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Titolo:
Three-dimensional Bayesian optical image reconstruction with domain decomposition
Autore:
Eppstein, MJ; Dougherty, DE; Hawrysz, DJ; Sevick-Muraca, EM;
Indirizzi:
Univ Vermont, Dept Comp Sci, Burlington, VT 05405 USA Univ Vermont Burlington VT USA 05405 t Comp Sci, Burlington, VT 05405 USA Univ Vermont, Dept Civil & Environm Engn, Burlington, VT 05405 USA Univ Vermont Burlington VT USA 05405 ironm Engn, Burlington, VT 05405 USA Purdue Univ, Sch Chem Engn, W Lafayette, IN 47907 USA Purdue Univ W Lafayette IN USA 47907 Chem Engn, W Lafayette, IN 47907 USA Texas A&M Univ, Dept Chem Engn, Phonton Migrat Lab, College Stn, TX 77843 USA Texas A&M Univ College Stn TX USA 77843 at Lab, College Stn, TX 77843 USA
Titolo Testata:
IEEE TRANSACTIONS ON MEDICAL IMAGING
fascicolo: 3, volume: 20, anno: 2001,
pagine: 147 - 163
SICI:
0278-0062(200103)20:3<147:TBOIRW>2.0.ZU;2-Z
Fonte:
ISI
Lingua:
ENG
Soggetto:
FLUORESCENT CONTRAST AGENTS; LYMPH-NODE BIOPSY; TURBID MEDIA; PHOTON MIGRATION; BREAST-CANCER; IN-VIVO; DIFFUSION EQUATION; TOMOGRAPHY; TUMORS; ABSORPTION;
Keywords:
fluorescent contrast agents; frequency domain photon migration; optical tomography; three-dimensional image reconstruction;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Engineering, Computing & Technology
Citazioni:
60
Recensione:
Indirizzi per estratti:
Indirizzo: Eppstein, MJ Univ Vermont, Dept Comp Sci, 327 Votey Bldg, Burlington, VT 05405 USA Univ Vermont 327 Votey Bldg Burlington VT USA 05405 05405 USA
Citazione:
M.J. Eppstein et al., "Three-dimensional Bayesian optical image reconstruction with domain decomposition", IEEE MED IM, 20(3), 2001, pp. 147-163

Abstract

Most current efforts in near-infrared optical tomography are effectively limited to two-dimensional reconstructions due to the computationally intensive nature of full three-dimensional (3-D) data inversion. Previously, we described a new computationally efficient and statistically powerful inversion method APPRIZE (automatic progressive parameter-reducing inverse zonation and estimation). The APPRIZE method computes minimum-variance estimates of parameter values there, spatially variant absorption due to a fluorescentcontrast agent) and covariance, while simultaneously estimating the numberof parameters needed as well as the size, shape, and location of the spatial regions that correspond to those parameters. Estimates of measurement and model error are explicitly incorporated into the procedure and implicitlyregularize the inversion in a physically based manner, The optimal estimation of parameters is bounds-constrained, precluding infeasible values. In this paper, the APPRIZE method for optical imaging is extended for application to arbitrarily large 3-D domains through the use of domain decomposition. The effect of subdomain size on the performance of the method is examinedby assessing the sensitivity for identifying 112 randomly located single-voxel heterogeneities in 58 3-D domains, Also investigated are the effects of unmodeled heterogeneity in background optical properties. The method is tested on simulated frequency-domain photon migration measurements at 100 MHz in order to recover absorption maps owing to fluorescent contrast agent. This study provides a new approach for computationally tractable 3-D optical tomography.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/01/20 alle ore 16:07:48