A multi-energy CT imaging method, device and storage device based on tensor completion

Abstract

The invention discloses a tensor completion-based multi-energy CT (computed tomography) imaging method, a tensor completion-based multi-energy CT imaging device, storage equipment and a tensor completion-based multi-energy CT imaging system. The tensor completion-based multi-energy CT imaging method comprises the following steps of: firstly, respectively processing an obtained projection value ofeach section of narrow beam energy spectrum by using an FDK (frequency division duplex) algorithm to obtain a reconstructed image of each energy section; then, modeling the obtained reconstructed image of each energy segment into a third-order tensor, establishing a tensor nuclear norm and total variation regularization minimization model, and improving the precision of the reconstructed image ofeach energy segment; and finally, performing optimization weighting on each slice in the tensor obtained by modeling according to a weighting fusion algorithm to obtain a final imaging image. The beneficial effects of the invention are that the method achieves the data collection through the multifunctional CT simulation system based on GATE, combines the inherent multi-dimensional properties of aCT problem with the tensor, and achieves the more precise reconstruction of a CT scanning image.

Description

technical field [0001] The present invention relates to a tomography (CT) imaging system and imaging method, more specifically, relates to a multi-energy CT imaging method and system based on tensor completion. Background technique [0002] The basic principle of CT imaging is to use X-ray beams to scan a layer of a certain thickness of the human body. The X-rays that pass through this layer are received by the detector and converted into visible light. The converter (analog / digital converter) converts it into a digital signal and inputs it to a computer for processing. [0003] For further in-depth research, people use virtual simulation technology, with the help of simulation software, such as: Geant4, SimSet, etc. to realize the simulation of CT imaging system. Current CT imaging (PhotonCounting Computed Tomography, PCCT) simulation technologies based on photon counting detectors mainly include analytical simulation algorithms and Monte Carlo simulation methods. The res...

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Problems solved by technology

Although these tools work well on multidimensional data, finding these solutions requires solving a complex non-convex optimization problem that also suffers from poor convergence

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