Self-absorption correction method for sparse angle projection of fluorescence CT

Abstract

The invention provides a self-absorption correction method for sparse angle projection of fluorescence CT, a readable storage medium and computer equipment. The method comprises the following steps that system initialization is conducted, wherein relevant parameters are initialized; a weighting function of various voxels is calculated, on the basis of considering self-absorption correction, a weighting function of various voxels under X rays is obtained, and based on the compressive sensing theory, Split-Bregman iteration is utilized for image iteration reconstruction; with the assistance of the framework of the compressive sensing theory, existence of self-absorption is sufficiently considered in the process of acquiring weight factors of all the voxels, the weight factors of all the voxels under the X rays with multiple colors are obtained and added into Split-Bregman iteration reconstruction, and the reconstruction quality of images is improved.

Description

technical field [0001] The present disclosure relates to the technical field of fluorescence CT, in particular to a fluorescence CT sparse angle projection self-absorption correction method, a readable storage medium and computer equipment. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] Fluorescence CT is a computed tomography imaging technique that obtains the three-dimensional distribution of elements in a sample, and it has important potential applications in the fields of biology, medicine, and materials science. [0004] For fluorescence CT, the self-absorption problem has always been an important factor affecting its imaging quality. Due to the existence of the self-absorption problem, the fluorescence signal will be absorbed and attenuated by the elements on the path from the excited position to the fluorescence detector, so , i...

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Problems solved by technology

[0004] For fluorescence CT, the self-absorption problem has always been an important factor affecting its imaging quality. Due to the existence of the self-absorption problem, the fluorescence signal will be absorbed and attenuated by the elements on the path from the excited position to the fluorescence detector, so , it is necessary to carry out self-absorption correction in the image reconstruction process of fluorescence CT; on the other hand, sparse angle data acquisition can greatly reduce the sampling time, but sparse angle sampling often brings errors

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