title: Parametric level set reconstruction methods for hyperspectral diffuse optical tomography.
abstract: A parametric level set method (PaLS) is implemented for image reconstruction for hyperspectral diffuse optical tomography (DOT). Chromophore concentrations and diffusion amplitude are recovered using a linearized Born approximation model and employing data from over 100 wavelengths. The images to be recovered are taken to be piecewise constant and a newly introduced, shape-based model is used as the foundation for reconstruction. The PaLS method significantly reduces the number of unknowns relative to more traditional level-set reconstruction methods and has been show to be particularly well suited for ill-posed inverse problems such as the one of interest here. We report on reconstructions for multiple chromophores from simulated and experimental data where the PaLS method provides a more accurate estimation of chromophore concentrations compared to a pixel-based method.
authors.forename: Fridrik
authors.initials: F
authors.lastname: Larusson
authors.forename: Sergio
authors.initials: S
authors.lastname: Fantini
authors.forename: Eric L
authors.initials: EL
authors.lastname: Miller