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Titolo:
A numerical study of gradient-based nonlinear optimization methods for contrast enhanced optical tomography
Autore:
Roy, R; Sevick-Muraca, EM;
Indirizzi:
Texas A&M Univ, Dept Chem Engn, Photon 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:
OPTICS EXPRESS
fascicolo: 1, volume: 9, anno: 2001,
pagine: 49 - 65
SICI:
1094-4087(20010702)9:1<49:ANSOGN>2.0.ZU;2-J
Fonte:
ISI
Lingua:
ENG
Soggetto:
IMAGE-RECONSTRUCTION; REVERSE DIFFERENTIATION; SCHEME; ABSORPTION; SIMULATIONS; ALGORITHM; MEDIA;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
36
Recensione:
Indirizzi per estratti:
Indirizzo: Roy, R Texas A&M Univ, Dept Chem Engn, Photon Migrat Lab, College Stn, TX 77843 USA Texas A&M Univ College Stn TX USA 77843 College Stn, TX 77843 USA
Citazione:
R. Roy e E.M. Sevick-Muraca, "A numerical study of gradient-based nonlinear optimization methods for contrast enhanced optical tomography", OPT EXPRESS, 9(1), 2001, pp. 49-65

Abstract

Numerical performance of two gradient-based methods, a truncated-Newton method with trust region (TN) and a nonlinear conjugate gradient (NCG), is studied and compared for a given data set and conditions specific for the contrast enhanced optical tomography problem. Our results suggest that the relative performance of the two methods depends upon the error functions, specific to the problem to be solved. The TN outperforms the NCG when maps of fluorescence lifetime are reconstructed while both methods performed well when the absorption coefficient constitutes the parameter set that is to be recovered. (C) 2001 Optical Society of America.

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Documento generato il 23/01/20 alle ore 06:26:34