Fluorescence diffuse optical tomography using the split Bregman method

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  • dc.contributor.author Abascal, Juan Felipe Pérez Justeca
  • dc.contributor.author Chamorro Servent, Juditca
  • dc.contributor.author Aguirre, Juanca
  • dc.contributor.author Arridge, Simonca
  • dc.contributor.author Correia, Teresaca
  • dc.contributor.author Ripoll, Jorgeca
  • dc.contributor.author Vaquero, Juan J.ca
  • dc.contributor.author Desco, Manuelca
  • dc.date.accessioned 2018-05-31T15:25:07Z
  • dc.date.available 2018-05-31T15:25:07Z
  • dc.date.issued 2011
  • dc.description.abstract Purpose: Standard image reconstruction methods for fluorescence Diffuse Optical Tomography (fDOT) generally make use of L2-regularization. A better choice is to replace the L2 by a total variation functional that effectively removes noise while preserving edges. Among the wide range of approaches available, the recently appeared Split Bregman method has been shown to be optimal and efficient. Furthermore, additional constraints can be easily included. We propose the use of the Split Bregman method to solve the image reconstruction problem for fDOT with a nonnegativity constraint that imposes the reconstructed concentration of fluorophore to be positive. Methods: The proposed method is tested with simulated and experimental data, and results are compared with those yielded by an equivalent unconstrained optimization approach based on Gauss Newton (GN) method, in which the negative part of the solution is projected to zero after each iteration. In addition, the method dependence on the parameters that weigh data fidelity and nonnegativity constraints is analyzed. Results: Split Bregman yielded a reduction of the solution error norm and a better full width at tenth maximum for simulated data, and higher signal-to-noise ratio for experimental data. It is also shown that it led to an optimum solution independently of the data fidelity parameter, as long as the number of iterations is properly selected, and that there is a linear relation between the number of iterations and the inverse of the data fidelity parameter. Conclusions: Split Bregman allows the addition of a nonnegativity constraint leading to improve image quality.es
  • dc.description.sponsorship This study was supported by Ministerio de Ciencia e Innovacio´n (FPI program, TEC 2007-64731, TEC 2008-06715, and CENIT AMIT CEN-20101014), Comunidad deMadrid and European Regional Development Fund ARTEMIS S2009/DPI-1802, and EU-FP7 project FMTXCT-201792.en
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Abascal JFPJ, Chamorro Servent J, Aguirre J, Arridge S, Correia T, Ripoll J, Vaquero JJ, Desco M. Fluorescence diffuse optical tomography using the split Bregman method. Med Phys. 2011;38(11):6275-84. DOI: 10.1118/1.3656063
  • dc.identifier.doi http://dx.doi.org/10.1118/1.3656063
  • dc.identifier.issn 0094-2405
  • dc.identifier.uri http://hdl.handle.net/10230/34765
  • dc.language.iso eng
  • dc.publisher American Association of Physicists in Medicineca
  • dc.relation.ispartof Medical Physics. 2011;38(11):6275-84.
  • dc.rights © 2011 American Association of Physicists in Medicine. "This is the peer reviewed version of the following article: Abascal JFPJ, Chamorro Servent J, Aguirre J, Arridge S, Correia T, Ripoll J, Vaquero JJ, Desco M. Fluorescence diffuse optical tomography using the split Bregman method. Med Phys. 2011;38(11):6275-84, which has been published in final form at https://aapm.onlinelibrary.wiley.com/doi/abs/10.1118/1.3656063. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword Diffuse optical tomographyen
  • dc.subject.keyword L1-regularizationen
  • dc.subject.keyword Total variationen
  • dc.subject.keyword Constrained optimizationen
  • dc.subject.keyword Split Bregmanen
  • dc.title Fluorescence diffuse optical tomography using the split Bregman methodca
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/acceptedVersion