title: Performance evaluation of adaptive meshing algorithms for fluorescence diffuse optical tomography using experimental data.
abstract: Fluorescence diffuse optical tomography (FDOT) is a computationally demanding imaging problem. The discretizations of FDOT forward and inverse problems pose a trade-off between the accuracy and the computational efficiency of the image reconstruction. To address this trade-off, we analyzed the effect of discretization on the accuracy of FDOT imaging and proposed novel adaptive meshing algorithms for FDOT in a series of studies. In this Letter, we apply these new adaptive meshing algorithms to FDOT imaging using real data from a phantom experiment to demonstrate the practical advantages of our algorithms in FDOT image reconstruction.
authors.affiliation: Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, New York 12180, USA.
authors.forename: Lu
authors.initials: L
authors.lastname: Zhou
authors.forename: Birsen
authors.initials: B
authors.lastname: Yazıcı
authors.forename: Angelique B F
authors.initials: AB
authors.lastname: Ale
authors.forename: Vasilis
authors.initials: V
authors.lastname: Ntziachristos
mesh_terms: D000465:Algorithms; D004867:Equipment Design; D005453:Fluorescence; D007091:Image Processing, Computer-Assisted / Q000379:methods; D019047:Phantoms, Imaging; D041622:Tomography, Optical / Q000295:instrumentation / Q000379:methods*