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Proceedings Paper

Nonlinear image reconstruction algorithm for diffuse optical tomography using iterative block solver and automatic mesh generation from tomosynthesis images
Author(s): Qianqian Fang; David Boas; Greg Boverman; Quan Zhang; Tina Kauffman
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Paper Abstract

In this paper, we report a nonlinear 3D image reconstruction algorithm featuring 3D finite element forward modeling with an iterative multi-right-hand-side solver and an automatic mesh generation technique for efficient geometry modeling. The forward mesh was generated based on 3D tomosynthesis images acquired simultaneously with optical measurements. An efficient iterative solver based on a QMR algorithm with the capacity of solving multi-RHS was used to enhance the computational efficiency. The mesh generation algorithm was developed based on a moving mesh process and is able to generate high-quality mesh with low computational complexity. In addition, an approximated adjoint method was used to form the Jacobian matrix for the inverse problem. The performance was satisfactory in numerical simulations. For a typical reconstruction, the run-time was under 5 minutes on a Pentium-based PC. It is worth mentioning that the mesh generation module not only works for binary 2D or 3D image stacks, but also for any other binary description of the object, which makes it generalizable to many other potential applications.

Paper Details

Date Published: 13 February 2006
PDF: 10 pages
Proc. SPIE 6081, Multimodal Biomedical Imaging, 60810O (13 February 2006); doi: 10.1117/12.662689
Show Author Affiliations
Qianqian Fang, Massachusetts General Hospital (United States)
David Boas, Massachusetts General Hospital (United States)
Greg Boverman, Northeastern Univ. (United States)
Quan Zhang, Massachusetts General Hospital (United States)
Tina Kauffman, Massachusetts General Hospital (United States)

Published in SPIE Proceedings Vol. 6081:
Multimodal Biomedical Imaging
Fred S. Azar; Dimitris N. Metaxas, Editor(s)

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