title: Globally accelerated reconstruction algorithm for diffusion tomography with continuous-wave source in an arbitrary convex shape domain.
abstract: A new numerical imaging algorithm is presented for reconstruction of optical absorption coefficients from near-infrared light data with a continuous-wave source. As a continuation of our earlier efforts in developing a series of methods called "globally convergent reconstruction methods" [J. Opt. Soc. Am. A23, 2388 (2006)], this numerical algorithm solves the inverse problem through solution of a boundary-value problem for a Volterra-type integral partial differential equation. We deal here with the particular issues in solving the inverse problems in an arbitrary convex shape domain. It is demonstrated in numerical studies that this reconstruction technique is highly efficient and stable with respect to the complex distribution of actual unknown absorption coefficients. The method is particularly useful for reconstruction from a large data set obtained from a tissue or organ of particular shape, such as the prostate. Numerical reconstructions of a simulated prostate-shaped phantom with three different settings of absorption-inclusions are presented.
authors.affiliation: Department of Mathematics, University of Texas at Arlington, Arlington, TX 76019, USA.
authors.forename: Natee
authors.initials: N
authors.lastname: Pantong
authors.forename: Jianzhong
authors.initials: J
authors.lastname: Su
authors.forename: Hua
authors.initials: H
authors.lastname: Shan
authors.forename: Michael V
authors.initials: MV
authors.lastname: Klibanov
authors.forename: Hanli
authors.initials: H
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007259:Infrared Rays; D008297:Male; D019047:Phantoms, Imaging; D011471:Prostatic Neoplasms; D014054:Tomography / Q000379:methods