Selection of regularization parameter for optical topography.
J BIOMED OPT
, Article 034044. 10.1117/1.3156839.
The choice of the regularization parameter has a profound effect on the solution of ill-posed inverse problems such as optical topography. We review 11 different methods for selecting the Tikhonov regularization parameter that have been described previously in the literature. We test them on two trial problems, deblurring and optical topography, and conclude that the L-curve method is the method of choice, though in particularly ill-posed problems, generalized cross-validation may provide an alternative. (C) 2009 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3156839]
|Title:||Selection of regularization parameter for optical topography|
|Keywords:||inverse problems, regularization, Tikhonov, optical topography, L-curve, generalized cross validation, ILL-POSED PROBLEMS, ELECTRICAL-IMPEDANCE TOMOGRAPHY, L-CURVE, TIKHONOV REGULARIZATION, CEREBRAL HEMODYNAMICS, BRAIN, CHOICE, SYSTEM|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering
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