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Volume 26, Issue 3
Bioluminescence Tomography: Biomedical Background, Mathematical Theory, and Numerical Approximation

Weimin Han & Ge Wang

J. Comp. Math., 26 (2008), pp. 324-335.

Published online: 2008-06

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  • Abstract

Over the last couple of years molecular imaging has been rapidly developed to study physiological and pathological processes in vivo at the cellular and molecular levels. Among molecular imaging modalities, optical imaging stands out for its unique advantages, especially performance and cost-effectiveness. Bioluminescence tomography (BLT) is an emerging optical imaging mode with promising biomedical advantages. In this survey paper, we explain the biomedical significance of BLT, summarize theoretical results on the analysis and numerical solution of a diffusion based BLT model, and comment on a few extensions for the study of BLT.

  • Keywords

Biomedical imaging, Bioluminescence tomography (BLT), Inverse problem, Regularization, Numerical approximation, Error analysis.

  • AMS Subject Headings

65N21, 92C55.

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{JCM-26-324, author = {Weimin Han and Ge Wang}, title = {Bioluminescence Tomography: Biomedical Background, Mathematical Theory, and Numerical Approximation}, journal = {Journal of Computational Mathematics}, year = {2008}, volume = {26}, number = {3}, pages = {324--335}, abstract = {

Over the last couple of years molecular imaging has been rapidly developed to study physiological and pathological processes in vivo at the cellular and molecular levels. Among molecular imaging modalities, optical imaging stands out for its unique advantages, especially performance and cost-effectiveness. Bioluminescence tomography (BLT) is an emerging optical imaging mode with promising biomedical advantages. In this survey paper, we explain the biomedical significance of BLT, summarize theoretical results on the analysis and numerical solution of a diffusion based BLT model, and comment on a few extensions for the study of BLT.

}, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/8628.html} }
TY - JOUR T1 - Bioluminescence Tomography: Biomedical Background, Mathematical Theory, and Numerical Approximation AU - Weimin Han & Ge Wang JO - Journal of Computational Mathematics VL - 3 SP - 324 EP - 335 PY - 2008 DA - 2008/06 SN - 26 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jcm/8628.html KW - Biomedical imaging, Bioluminescence tomography (BLT), Inverse problem, Regularization, Numerical approximation, Error analysis. AB -

Over the last couple of years molecular imaging has been rapidly developed to study physiological and pathological processes in vivo at the cellular and molecular levels. Among molecular imaging modalities, optical imaging stands out for its unique advantages, especially performance and cost-effectiveness. Bioluminescence tomography (BLT) is an emerging optical imaging mode with promising biomedical advantages. In this survey paper, we explain the biomedical significance of BLT, summarize theoretical results on the analysis and numerical solution of a diffusion based BLT model, and comment on a few extensions for the study of BLT.

Weimin Han and Ge Wang. (2008). Bioluminescence Tomography: Biomedical Background, Mathematical Theory, and Numerical Approximation. Journal of Computational Mathematics. 26 (3). 324-335. doi:
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