Computational optical biopsy

BioMedical Engineering OnLine

Yi Li¹  Ming Jiang²  Ge Wang² 

[1] Department of Mathematics, University of Iowa, Iowa City, IA 52242, USA

[2] Bioluminescence Tomography Laboratory, Departments of Radiology and Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA

关键词: diffusion approximation;    inverse problem;    bioluminescent imaging;    fluorescent imaging;    optical imaging;    Molecular imaging;   

Others  :  798811
DOI  :  10.1186/1475-925X-4-36

 received in 2005-04-01, accepted in 2005-06-14,  发布年份 2005

【 摘 要 】

Optical molecular imaging is based on fluorescence or bioluminescence, and hindered by photon scattering in the tissue, especially in patient studies. Here we propose a computational optical biopsy (COB) approach to localize and quantify a light source deep inside a subject. In contrast to existing optical biopsy techniques, our scheme is to collect optical signals directly from a region of interest along one or multiple biopsy paths in a subject, and then compute features of an underlying light source distribution. In this paper, we formulate this inverse problem in the framework of diffusion approximation, demonstrate the solution uniqueness properties in two representative configurations, and obtain analytic solutions for reconstruction of both optical properties and source parameters.

【 授权许可】

   
2005 Li et al; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

【 参考文献 】

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