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Title:
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Feasibility of U-curve method to select the regularization parameter for fluorescence diffuse optical tomography in phantom and small animal studies
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Author:
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Chamorro Servent, Judit; Aguirre, Juan; Ripoll, Jorge; Vaquero, Juan J.; Desco, Manuel
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Abstract:
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When dealing with ill-posed problems such as fluorescence diffuse optical tomography (fDOT) the choice of the regularization parameter is extremely important for computing a reliable reconstruction. Several automatic methods for the selection of the regularization parameter have been introduced over the years and their performance depends on the particular inverse problem. Herein a U-curve-based algorithm for the selection of regularization parameter has been applied for the first time to fDOT. To increase the computational efficiency for large systems an interval of the regularization parameter is desirable. The U-curve provided a suitable selection of the regularization parameter in terms of Picard’s condition, image resolution and image noise. Results are shown both on phantom and mouse data. |
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Abstract:
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This work was supported in part by Fundación Caja Navarra (#12180), Ministerio de Ciencia
e Innovación (FPI program, TEC2008-06715 and TEC2007-64731), and EU-FP7 project
FMTXCT-201792. |
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Subject(s):
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-Algorithms
-Animals
-Diffusion
-Feasibility studies
-Fluorescence
-Image Processing, Computer-Assisted/methods
-Mice
-Phantoms, Imaging
-Tomography, Optical/methods |
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Rights:
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© 2011 Optical Society of America]. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.
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Document type:
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Article
Article - Published version |
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Published by:
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Optical Society of America (OSA)
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