A Method for Selecting Feasible Regions of Targets in Fluorescence Molecular Tomography

Abstract

The invention belongs to the technical field of molecular imaging, and discloses a method for selecting a feasible region of a fluorescent molecular tomographic imaging target. If the reconstruction quality does not meet the requirements, jump to the iterative self-organizing data analysis technology algorithm to select the feasible region, otherwise display the final reconstruction result and end the reconstruction. The invention is suitable for reconstructing an optical molecular tomography system of multi-target fluorescence sources, requires less fluorescence measurement data, adopts an iterative self-organizing data analysis technique algorithm to partition and select feasible regions, and improves the accuracy of selecting feasible regions in multi-target reconstruction. The present invention reduces the morbidity of the reconstruction problem through multi-stage reconstruction, effectively improves the reconstruction quality of fluorescence molecular tomography, and has important application value in the fields of optical tomography three-dimensional reconstruction algorithm and the like.

Description

technical field [0001] The invention belongs to the technical field of optical molecular imaging, and in particular relates to a method for selecting a feasible region of a fluorescent molecular tomographic imaging target. Background technique [0002] Excited fluorescence molecular tomography (FMT) and bioluminescence tomography (BLT) are new optical molecular imaging modalities developed in recent years. Excited fluorescence molecular tomography (FMT) uses an external light source to excite fluorescent probes (fluorescent proteins, fluorescent dyes, etc.) enzyme) to interact with each other to generate autofluorescence, and then use the fluorescence acquisition device (high-sensitivity CCD camera) to collect the fluorescence signal, combined with the mathematical model, the position and concentration of the internal fluorescence source of the reconstruction target can be obtained, so as to realize the biological detection in the living state The process conducts qualitati...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the current three-dimensional reconstruction of excited fluorescence molecular tomography (FMT) and bioluminescence tomography (BLT) has serious pathological characteristics; Large discrepancy, the processing of reconstruction results and the selection of feasible regions are difficult; a large amount of data needs to be collected for accurate imaging, which consumes a lot of time for data acquisition, storage and processing, which is not conducive to real-time imaging and rapid reconstruction of fluorescence molecular tomography

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