Fluorescent molecular tomographic image reconstruction based on parallel forward computation

Wei Zou; Jiajun Wang; David Dagan Feng

doi:10.1117/12.743149

14 November 2007 Fluorescent molecular tomographic image reconstruction based on parallel forward computation

Wei Zou, Jiajun Wang, David Dagan Feng

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67890C (2007) https://doi.org/10.1117/12.743149
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

The forward problem of the fluorescent molecular tomography(FMT), which is usually described by two coupled diffusion equations corresponding to the excitation and emission light respectively, is usually solved in a sequential manner. However, sequential computation often limits the FMT image reconstruction speed. In this paper, a novel parallel forward computation algorithm is proposed in conjunction with a reconstruction algorithm based on the adaptively refined mesh, in which the priori information obtained from the other imaging modalities can be easily incorporated in the process of mesh generation. The experiment results and comprehensive discussion given in this paper have demonstrated that the proposed parallel forward computation and reconstruction strategies based on the adaptively refined mesh can improve the performance of the FMT reconstruction in terms of image reconstruction speed and final image quality significantly.

Citation Download Citation

Wei Zou, Jiajun Wang, and David Dagan Feng "Fluorescent molecular tomographic image reconstruction based on parallel forward computation", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67890C (14 November 2007); https://doi.org/10.1117/12.743149

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KEYWORDS

Reconstruction algorithms

Image restoration

Tomography

Tissue optics

Diffusion

Absorption

Image resolution

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