FDOT reconstruction and setting optimization using singular value analysis with automatic thresholding

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• dc.contributor.author Chamorro Servent, Judit
• dc.contributor.author Aguirre, Juan
• dc.contributor.author Ripoll, Jorge
• dc.contributor.author Vaquero, Juan J.
• dc.contributor.author Desco, Manuel
• dc.date.accessioned 2019-02-06T17:26:50Z
• dc.date.available 2019-02-06T17:26:50Z
• dc.date.issued 2009
• dc.description Comunicació presentada a: 2009 IEEE Nuclear Science Symposium Conference Record, celebrada a Orlando, Florida, Estats Units d'Amèrica, del 24 d'octubre a l'1 de novembre de 2009.ca
• dc.description.abstract Fluorescence Enhanced Diffuse Optical Tomography (FDOT) retrieves 3D distributions of fluorophore concentration in small animals, non-invasively and in vivo. The FDOT problem can be formulated as a system of equations, d=Wf, where W is a weight matrix that couples the measurements (d) to the unknown spatial distribution (f) of the fluorophore concentration (forward problem). The Singular Value Decomposition (SVD) of W has been previously employed to solve the inverse problem (image reconstruction) and to study the imaging performance of FDOT. To achieve good image quality it is necessary to determine the number of useful singular values to retain. We use an automatic method that analytically calculates a threshold to select the significant singular values for SVD reconstruction of FDOT experiments previously validity in our laboratory. Afterwards, this work appraises the effect of different settings of the acquisition parameters (distribution of mesh points, density of sources and detectors) of a parallel-plate non-contact FDOT, in order to achieve the best possible imaging performance, i.e., minimum number of singular values of W, maximum information content in acquired measurements and minimum computational cost. We conclude that the use of a mesh with lower density in the direction perpendicular to the plates achieves better performance than the usual isotropic mesh points distribution. Any increase in the number of mesh points, sources and detectors at distances shorter than the photon mean free path leads to slight improvements in image quality while increasing computational burden.en
• dc.format.mimetype application/pdf
• dc.identifier.citation Chamorro-Servent J, Aguirre J, Ripoll J, Vaquero JJ, Deseo M. FDOT reconstruction and setting optimization using singular value analysis with automatic thresholding. In: 2009 IEEE Nuclear Science Symposium Conference Record; 2009 Oct 24-Nov 1; Orlando, Florida. New Jersey: IEEE; 2009. p. 2827-9. DOI: 10.1109/NSSMIC.2009.5401647
• dc.identifier.doi http://dx.doi.org/10.1109/NSSMIC.2009.5401647
• dc.identifier.issn 1082-3654
• dc.identifier.uri http://hdl.handle.net/10230/36517
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
• dc.relation.ispartof 2009 IEEE Nuclear Science Symposium Conference Record; 2009 Oct 24-Nov 1; Orlando, Florida. New Jersey: IEEE; 2009. p. 2827-9.
• dc.rights © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at (URL de l'article en la revista)
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Fluorescenceen
• dc.subject.keyword Diffuseen
• dc.subject.keyword Opticalen
• dc.subject.keyword Tomographyen
• dc.subject.keyword Regularizaronen
• dc.subject.keyword U-curveen
• dc.subject.keyword Optimizationen
• dc.subject.keyword SVDen
• dc.subject.keyword Singularen
• dc.subject.keyword Valueen
• dc.subject.keyword Analysisen
• dc.title FDOT reconstruction and setting optimization using singular value analysis with automatic thresholding
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion