Reconstruction for free-space fluorescence tomography using a novel hybrid adaptive finite element algorithm

Xiaolei Song, Daifa Wang, Nanguang Chen, Jing Bai, Hongkai Wang

Research output: Contribution to journalArticlepeer-review

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° 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.

Original languageEnglish (US)
Pages (from-to)18300-18317
Number of pages18
JournalOptics Express
Volume15
Issue number26
DOIs
StatePublished - Dec 24 2007

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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