Abstract
A fast 3-D optical imaging method with use of exogenous fluorescence agent is proposed and demonstrated by simulation in a model tissue. After administration of fluorescent agent, ultrashort near-infrared laser pulses are used to illuminate the tissue and excite fluorescence emission. The transient fluorescence signals are detected on the tissue boundaries and employed to reconstruct a 3-D image of relative fluorescence emission distribution inside the tissue. A region with greater fluorescence emission represents a diseased tissue if the fluorescent agent has a close affinity with the disease. We successfully demonstrated the feasibility of this method in the imaging of a 4x4x4mm(3) tumor embedded at the center of a cubical tissue phantom with an uptake distribution of fluorescent indocyanine green dye. The image reconstruction does not involve any inverse problem. It took less than 5 minutes in a PC for the model imaging problem.
Highlights
In recent years, studies on near-infrared (NIR) optical imaging as a potential biomedical diagnostic modality have attracted increasing attention [1,2,3,4,5,6,7]
indocyanine green (ICG) dye was used as the fluorescent agent
We considered an uptake distribution of the fluorescent dye in the model tissue
Summary
Studies on near-infrared (NIR) optical imaging as a potential biomedical diagnostic modality have attracted increasing attention [1,2,3,4,5,6,7]. Unlike X-ray and PET that depend on the ballistic transmitted component of radiation emission, optical imaging has to deal with highly diffused and back-scattered light, and usually involves an inverse problem in image reconstruction, in which tissue optical properties from a given experimental setup and a given set of measurements are determined through an inverse optimization procedure using predicted boundary measurements in forward modeling of photon migration in the given tissue geometry with known optical tissue parameters. An inverse problem is always ill-posed and may lead to divergent results In this treatise, a fast and stable optical imaging method is proposed to detect tumor based on relative fluorescence concentration contrast between cancerous tumor and surrounding healthy tissue, rather than the inverse solution of the distribution of tissue optical parameters. Since we only reconstruct the fluorescence emission distribution, the many difficulties associated with the complexities of tissue optical properties, tissue structures, forward modeling, and inverse optimization, are all avoided in the proposed imaging method. We will demonstrate our method in the imaging of a small tumor embedded in a model tissue
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