Efficient image reconstruction in fluorescence diffuse optical tomography (fDOT) using data and solution compression

Teresa Correia; Timothy Rudge; Simon Arridge

doi:10.1117/12.2032548

14 June 2013 Efficient image reconstruction in fluorescence diffuse optical tomography (fDOT) using data and solution compression

Teresa Correia, Timothy Rudge, Simon Arridge

Author Affiliations +

Proceedings Volume 8799, Diffuse Optical Imaging IV; 87990H (2013) https://doi.org/10.1117/12.2032548
Event: European Conferences on Biomedical Optics, 2013, Munich, Germany

Abstract

Current uorescence di use optical tomography (fDOT) systems can provide large data sets and, in addition, the unknown parameters to be estimated are so numerous that the sensitivity matrix is too large to store. Alternatively, iterative methods can be used, but they can be extremely slow at converging when dealing with large matrices. A few approaches suitable for the reconstruction of images from very large data sets have been developed. However, they either require explicit construction of the sensitivity matrix, su er from slow computation times or can only be applied to restricted geometries. We introduce a method for fast reconstruction in fDOT with large data and solution spaces, which preserves the resolution of the forward operator whilst compressing its representation. The method does not require construction of the full matrix, and thus, allows storage and direct inversion of the explicitly constructed compressed system matrix. The method is tested using simulated data. Results show that the fDOT image reconstruction problem can be e ectively compressed, without sigini cant loss of information and with the added advantage of reducing image noise.

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Teresa Correia, Timothy Rudge, and Simon Arridge "Efficient image reconstruction in fluorescence diffuse optical tomography (fDOT) using data and solution compression", Proc. SPIE 8799, Diffuse Optical Imaging IV, 87990H (14 June 2013); https://doi.org/10.1117/12.2032548

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KEYWORDS

Image compression

Wavelets

Data compression

Image restoration

Luminescence

Chemical elements

Fast wavelet transforms

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