title: Flexible near-infrared diffuse optical tomography with varied weighting functions of edge-preserving regularization.
abstract: In this paper, a flexible edge-preserving regularization algorithm based on the finite element method is proposed to reconstruct the optical-property images of near-infrared diffuse optical tomography. This regularization algorithm can easily incorporate with varied weighting functions, such as a generalized Lorentzian function, an exponential function, or a generalized total variation function. To evaluate the performance, results obtained from Tikhonov or edge-preserving regularization are compared with each other. As found, the edge-preserving regularization with the generalized Lorentzian function is more attractive than that with other functions for the estimation of absorption-coefficient images concerning functional tomographic images to discover functional information of tested phantoms/tissues.
authors: Department of Mechanical Engineering, National Central University, Taoyuan County, Taiwan.
authors: Liang-Yu
authors: LY
authors: Chen
authors: Min-Cheng
authors: MC
authors: Pan
authors: Min-Chun
authors: MC
authors: Pan
mesh_terms: D000465:Algorithms; D001940:Breast / Q000473:pathology; D003198:Computer Simulation; D003952:Diagnostic Imaging / Q000295:instrumentation / Q000379:methods; D004058:Diffusion; D004581:Electronics; D005260:Female; D020342:Finite Element Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008962:Models, Theoretical; D055095:Optics and Photonics; D019047:Phantoms, Imaging; D016012:Poisson Distribution; D041622:Tomography, Optical / Q000295:instrumentation* / Q000379:methods*