CT (computed tomography) image generation device and CT image generation method

Abstract

Through the present invention, an error between projection and back projection in CT image generation is reduced. The CT image generation device according to the present invention is provided with: an X-ray scanner provided with an X-ray source and a detector; a storage module including a detector data block, a weighting data block, and a parameter data block; and a processor module including a main processor, a weighting calculation unit, a weighting vector multiplication unit, and a separable footprint computation unit. A scanner stores scanned data as detector data in the detector data block, the weighting calculation unit acquires a geometry parameter from the parameter data block and calculates a weighting vector, and the main processor controls a projection / back projection angle loop using the geometry parameter. The weighting vector multiplication unit multiplies the detector data by a weighting vector and acquires a corrected detector value, and the separable footprint computation unit executes a separable footprint projection / back projection algorithm using the corrected detector value.

Description

technical field [0001] The present invention relates to a CT image generating device and a CT image generating method, in particular to a CT image generating device and a CT image generating method utilizing an improved separable footprint (Separable Footprint) method. Background technique [0002] X-ray computed tomography (CT) technology has been widely used to examine the human body. CT images have been used as the basis for disease diagnosis for 30 years. Research on CT image reconstruction algorithms to reduce radiation dose and improve CT image quality , Reducing image artifacts has always been a hot issue in research and clinical practice. [0003] In practical applications, CT image reconstruction algorithms mainly include filtered back-projection methods and iterative reconstruction algorithms. Among them, the filtered back projection method is a traditional method for CT image reconstruction, and has been widely used in current CT products. However, in the filter...

AI Technical Summary

Problems solved by technology

Projection and back-projection methods mainly include traditional ones such as Ray-Driven and Pixel-Driven. Because the model error is large, it will make it difficult for the iterative algorithm to converge when applied to the iterative reconstruction algorithm, so the high-precision The projection and back-projection methods have been researched and proposed, the most typical ones are the distance-driven (Distance-Driven) and separable footprint (Separable Footprint) methods proposed in recent years, among which the separable footprint method is currently the best projection and back-projection method in academia. Projection model, but this method is also an approximate method, there are still some model errors, and the model accuracy needs to be further improved

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