Use of Split Bregman denoising for iterative reconstruction in fluorescence diffuse optical tomography

Fluorescence diffuse optical tomography (fDOT) is a noninvasive imaging technique that makes it possible to quantify the spatial distribution of fluorescent tracers in small animals. fDOT image reconstruction is commonly performed by means of iterative methods such as the algebraic reconstruction te...

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Detalles Bibliográficos
Autores: Chamorro Servent, Judit, Abascal, Juan Felipe Pérez Juste, Aguirre, Juan, Arridge, Simon, Correia, Teresa, Ripoll, Jorge, Desco, Manuel, Vaquero, Juan J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/34603
Acceso en línea:http://hdl.handle.net/10230/34603
http://dx.doi.org/10.1117/1.JBO.18.7.076016
Access Level:acceso abierto
Palabra clave:Fluorescence
Diffuse
Optical
Tomography
Total variation
Split Bregman
Shrinkage
Algebraic reconstruction technique
Descripción
Sumario:Fluorescence diffuse optical tomography (fDOT) is a noninvasive imaging technique that makes it possible to quantify the spatial distribution of fluorescent tracers in small animals. fDOT image reconstruction is commonly performed by means of iterative methods such as the algebraic reconstruction technique (ART). The useful results yielded by more advanced l1-regularized techniques for signal recovery and image reconstruction, together with the recent publication of Split Bregman (SB) procedure, led us to propose a new approach to the fDOT inverse problem, namely, ART-SB. This method alternates a cost-efficient reconstruction step (ART iteration) with a denoising filtering step based on minimization of total variation of the image using the SB method, which can be solved efficiently and quickly. We applied this method to simulated and experimental fDOT data and found that ART-SB provides substantial benefits over conventional ART.