Method for selecting feasible regions of fluorescent molecular tomography objects

Abstract

The invention belongs to the technical field of molecular imaging, and discloses a method for selecting feasible regions of fluorescent molecular tomography objects. The method comprises the followingsteps: carrying out global reestablishment; selecting the feasible regions by using an iteration self-organization data analysis technology algorithm; reestablishing the fluorescent objects on the feasible regions, if the reestablishing quality can not satisfy the requirements, skipping to the iteration self-organization data analysis technology algorithm for selecting the feasible regions, otherwise, displaying the final reestablishment result, and finishing the reestablishment. The method is suitable for an optical molecular tomography imaging system for reestablishing multiple object fluorescence sources, the needed fluorescence measurement data is little, the iteration self-organization data analysis technology algorithm is adopted for carrying out partition selection of the feasibleregions, and thus the accuracy in selecting the feasible regions in the reestablishment of multiple objects is improved. According to the technical scheme, through multi-stage reestablishment, the pathogenicity of the reconstruction problem is reduced, the reestablishment quality of the fluorescent molecular tomography is effectively improved, and the method has the significant application value in the fields including the optical tomography three-dimensional reconstruction algorithm.

Description

Technical field [0001] The invention belongs to the technical field of optical molecular imaging, and particularly relates to a method for selecting a feasible region of a fluorescent molecular tomography imaging target. Background technique [0002] Excited fluorescence molecular tomography (FMT) and bioluminescence tomography (BLT) are new optical molecular imaging modalities developed in recent years. Excitation fluorescence molecular tomography (FMT) uses an external light source to excite fluorescent probes (fluorescent proteins, fluorescent dyes, etc.) to emit photons; bioluminescence tomography (BLT) uses energy storage-catalytic substances in organisms (such as fluorescein and fluorescence) (Finase) interaction to generate autofluorescence, and then use the fluorescence collection device (high-sensitivity CCD camera) to collect the fluorescence signal, combined with the mathematical model, can obtain the position and concentration of the fluorescence source inside the rec...

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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