title: Reconstruction for free-space fluorescence tomography using a novel hybrid adaptive finite element algorithm.
abstract: With the development of in-vivo free-space fluorescence molecular imaging and multi-modality imaging for small animals, there is a need for new reconstruction methods for real animal-shape models with a large dataset. In this paper we are reporting a novel hybrid adaptive finite element algorithm for fluorescence tomography reconstruction, based on a linear scheme. Two different inversion strategies (Conjugate Gradient and Landweber iterations) are separately applied to the first mesh level and the succeeding levels. The new algorithm was validated by numerical simulations of a 3-D mouse atlas, based on the latest free-space setup of fluorescence tomography with 360 degrees geometry projections. The reconstructed results suggest that we are able to achieve high computational efficiency and spatial resolution for models with irregular shape and inhomogeneous optical properties.
authors: Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
authors: Xiaolei
authors: X
authors: Song
authors: Daifa
authors: D
authors: Wang
authors: Nanguang
authors: N
authors: Chen
authors: Jing
authors: J
authors: Bai
authors: Hongkai
authors: H
authors: Wang
mesh_terms: D000465:Algorithms; D020342:Finite Element Analysis; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D041622:Tomography, Optical / Q000379:methods*