The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A Técnica Generalizada de Espectro de Pulso (GPST) é um método para resolver os problemas inversos de propagação de ondas e fenômenos dominados por difusão e, portanto, tem sido popularmente aplicada na reconstrução de imagens de tomografia óptica difusa resolvida no tempo. Com um GPST padrão para reconstrução simultânea dos coeficientes de absorção e espalhamento, os produtos dos gradientes da função de Green e do fluxo de densidade de fótons, com base na equação de difusão de fótons, são necessários para calcular a matriz Jacobiana relacionada à difusão. As adversidades são duplas: demoradas e singulares no campo próximo à fonte. Este último causa uma grave insensibilidade do algoritmo às mudanças de dispersão nas profundezas do tecido. Para lidar com as dificuldades acima, propomos neste artigo um algoritmo GPST modificado que envolve apenas a função de Green e o próprio fluxo de densidade de fótons na matriz relacionada ao espalhamento. Nossas reconstruções simuladas e experimentais mostram que o algoritmo modificado pode melhorar significativamente a qualidade da imagem espalhada e acelerar o processo de reconstrução, sem uma degradação evidente na imagem de absorção.
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Feng GAO, Huijuan ZHAO, Yukari TANIKAWA, Yukio YAMADA, "Time-Resolved Diffuse Optical Tomography Using a Modified Generalized Pulse Spectrum Technique" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 1, pp. 133-142, January 2002, doi: .
Abstract: Generalized Pulse Spectrum Technique (GPST) is a method to solve the inverse problems of wave-propagation and diffusion-dominated phenomena, and therefore has been popularly applied in image reconstruction of time-resolved diffuse optical tomography. With a standard GPST for simultaneous reconstruction of absorption and scattering coefficients, the products of the gradients of the Green's function and the photon-density flux, based on the photon-diffusion equation, are required to calculate the diffusion-related Jacobian matrix. The adversities are of two-folds: time-consuming and singular in the field near the source. The latter causes a severe insensitivity of the algorithm to the scattering changes deep inside tissue. To cope with the above difficulties, we propose in this paper a modified GPST algorithm that only involves the Green's function and the photon-density flux themselves in the scattering-related matrix. Our simulated and experimental reconstructions show that the modified algorithm can significantly improve the quality of scattering image and accelerate the reconstruction process, without an evident degradation in absorption image.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_1_133/_p
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@ARTICLE{e85-d_1_133,
author={Feng GAO, Huijuan ZHAO, Yukari TANIKAWA, Yukio YAMADA, },
journal={IEICE TRANSACTIONS on Information},
title={Time-Resolved Diffuse Optical Tomography Using a Modified Generalized Pulse Spectrum Technique},
year={2002},
volume={E85-D},
number={1},
pages={133-142},
abstract={Generalized Pulse Spectrum Technique (GPST) is a method to solve the inverse problems of wave-propagation and diffusion-dominated phenomena, and therefore has been popularly applied in image reconstruction of time-resolved diffuse optical tomography. With a standard GPST for simultaneous reconstruction of absorption and scattering coefficients, the products of the gradients of the Green's function and the photon-density flux, based on the photon-diffusion equation, are required to calculate the diffusion-related Jacobian matrix. The adversities are of two-folds: time-consuming and singular in the field near the source. The latter causes a severe insensitivity of the algorithm to the scattering changes deep inside tissue. To cope with the above difficulties, we propose in this paper a modified GPST algorithm that only involves the Green's function and the photon-density flux themselves in the scattering-related matrix. Our simulated and experimental reconstructions show that the modified algorithm can significantly improve the quality of scattering image and accelerate the reconstruction process, without an evident degradation in absorption image.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - Time-Resolved Diffuse Optical Tomography Using a Modified Generalized Pulse Spectrum Technique
T2 - IEICE TRANSACTIONS on Information
SP - 133
EP - 142
AU - Feng GAO
AU - Huijuan ZHAO
AU - Yukari TANIKAWA
AU - Yukio YAMADA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2002
AB - Generalized Pulse Spectrum Technique (GPST) is a method to solve the inverse problems of wave-propagation and diffusion-dominated phenomena, and therefore has been popularly applied in image reconstruction of time-resolved diffuse optical tomography. With a standard GPST for simultaneous reconstruction of absorption and scattering coefficients, the products of the gradients of the Green's function and the photon-density flux, based on the photon-diffusion equation, are required to calculate the diffusion-related Jacobian matrix. The adversities are of two-folds: time-consuming and singular in the field near the source. The latter causes a severe insensitivity of the algorithm to the scattering changes deep inside tissue. To cope with the above difficulties, we propose in this paper a modified GPST algorithm that only involves the Green's function and the photon-density flux themselves in the scattering-related matrix. Our simulated and experimental reconstructions show that the modified algorithm can significantly improve the quality of scattering image and accelerate the reconstruction process, without an evident degradation in absorption image.
ER -