Title :
Penalty/modified barrier function method for diagnostic imaging using area and point illumination geometries in fluorescence-enhanced optical tomography
Author :
Roy, Ranadhir ; Godavart, R.A. ; Thompson, A.B. ; Sevick-Muraca, Eva M.
Author_Institution :
Photon Migration Lab., Texas A&M Univ., College Station, TX, USA
Abstract :
A novel imaging technique is developed for (i) area illumination and area collection and (ii) point illumination and point collection geometries in 3D fluorescence-enhanced optical tomography. The target reconstruction problem was formulated as a solution to a nonlinear least-squares-type simple bounds constrained optimization problem. The numerical technique for target reconstruction is based on the penalty/modified barrier function method and the parameter estimates were minimized by the gradient based constrained truncated Newton with trust region method. Three dimensional targets were reconstructed from experimental data under two different experimental conditions of (i) perfect uptake (1:0, target to background ratio) and (ii) imperfect uptake (100:1, target to background ratio).
Keywords :
Newton method; biomedical optical imaging; fluorescence; gradient methods; image reconstruction; least squares approximations; medical image processing; optical tomography; optimisation; parameter estimation; 3D fluorescence-enhanced optical tomography; area collection geometries; area illumination geometries; diagnostic imaging; gradient based constrained truncated Newton method; nonlinear least-squares-type problem; parameter estimates; penalty-modified barrier function method; point collection geometries; point illumination geometries; simple bounds constrained optimization problem; target-background ratio; three dimensional target reconstruction problem; trust region method; Fluorescence; Geometrical optics; Image reconstruction; Inverse problems; Laboratories; Lagrangian functions; Lighting; Nonlinear optics; Optical imaging; Single photon emission computed tomography;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
DOI :
10.1109/ISBI.2004.1398733