Bimodal fusion tomography method based on iterative shrinkage

Abstract

The invention belongs to the field of medical molecular imaging, and relates to an autofluorescence tomography and computed tomography bimodal fusion method, in particular to a bimodal fusion tomography method based on iterative shrinkage. The technology is used for quantifying the intensity of a light source in a reconstructed target body and positioning the light source, and solving the problemof negative direction of all internal light intensity distributions acquired by inversing the limited light intensity distributions on the surface of the target body. The technical scheme has the main points that: the surface light intensity information obtained in autofluorescence tomography and the internal geometric structure information obtained in computed tomography are fused, a complicatedmulti-dimension optimization process in reconstruction is converted into a one-dimension parallel optimization high-efficiency cyclic process by iterative shrinkage, and accurate reconstruction results of regular parameter, lp norm, noise and initial value robustness are acquired integrally. The technology can be effectively applied to research on the systemic physiologic metabolism of a target body, has a high reconstruction efficiency and is suitable for a condition with lower imaging system performance.

Description

technical field [0001] The invention belongs to the field of medical molecular imaging, and relates to a method for fusion of autofluorescence tomography and computer tomography, in particular to a dual-mode fusion tomography method based on iterative contraction. Background technique [0002] Autofluorescence tomography is an emerging molecular imaging technology in recent years. It is a technology that can realize non-invasive real-time dynamic continuous imaging of biophysical processes inside biological tissues at the molecular level. Through the acquired light intensity distribution on the surface of the target body, detecting the light source distribution inside the target body can conduct quantitative research on the target body and provide three-dimensional positioning information for the fluorescent light source. [0003] Most of the commonly used tomographic imaging techniques are traditional methods based on gradients. Since the signal of autofluorescence tomograp...

AI Technical Summary

Problems solved by technology

[0003] Most of the commonly used tomographic imaging techniques are traditional methods based on gradients. Since the signal of autofluorescence tomography is very weak, the collected data sets are noisy. The choice of regular parameters, l p The choice of norm, the choice of initial value, the choice of feasible region and the tolerance of noise all have strong requirements

This limits the practical application of autofluorescence tomography

Finding an efficient, robust, and global detection method has always been a hot and difficult problem in this field. So far, there is still no general technology that can solve this problem well.

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