CT three-dimensional reconstructing method and system

Abstract

The embodiment of the invention discloses a CT three-dimensional reconstructing method and system. The method comprises the steps of sending two-dimensional projection images obtained by CT at at least two rotation angles to at least two lower computers; controlling projection matrixes of all pixel points in the two-dimensional projection images received by all the lower computers through calculation, and storing the calculation result into memories of all the lower computers; according to the projection matrixes and the current iteration state of three-dimensional body data to be reconstructed, controlling all the lower computers to calculate an iterative attenuation weight and returning; according to the iterative attenuation weight, updating the current iteration state; returning to execute control over the projection matrixes and the current iteration state which are stored in the memories of all the lower computer, and calculating an iterative attenuation weight and returning till a preset ending condition is met; adopting a current iteration state after iteration ends as a three-dimensional representing result of a CT. By utilizing multiple lower computers to conduct distributed parallel calculation, the problems of low calculating efficiency, low reuse performance of calculating result and the like are overcome, and the three-dimensional reconstructing image quality is guaranteed.

Description

technical field [0001] Embodiments of the present invention relate to image processing technologies, and in particular to a CT three-dimensional reconstruction method and system. Background technique [0002] Compared with the traditional CT technology, because of the higher image resolution and larger field angle of the flat-panel detector, the cone-beam CT with the flat-panel detector technology has advantages in both imaging quality and imaging efficiency. Fast and accurate CT three-dimensional reconstruction under the cone-beam CT model has become a very important issue. [0003] The existing 3D reconstruction based on the FDK algorithm, the FDK algorithm is used as a filter back projection accumulation algorithm. Although the calculation speed is fast and the system resource requirements are low, the quality of the reconstructed image is poor, and there are artifacts, which affect the visualization effect and doctor's diagnosis. Although the algebraic iterative algorit...

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Problems solved by technology

[0003] The existing 3D reconstruction based on the FDK algorithm, the FDK algorithm is used as a filter back projection accumulation algorithm. Although the calculation speed is fast and the system resource requirements are low, the quality of the reconstructed image is poor, and there are artifacts, which affect the visualization effect and doctor's diagnosis.

Although the algebraic iterative algorithm ART can solve the image quality problem of the filtered back projection algorithm, the algorithm needs to calculate the projection matrix, which requires a large amount of calculation and low calculation efficiency. When saving the projection matrix, the storage hardware requirements are also high. its clinical application

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