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GPU acceleration method of CT image reconstruction

A CT image and algorithm technology, applied in the field of X-ray CT, can solve the problems of reducing data transmission, slow data transmission from memory to video memory, etc., to reduce data transmission, improve volume reconstruction speed, and achieve flexible effects.

Inactive Publication Date: 2008-10-15
CAPITAL NORMAL UNIVERSITY
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Problems solved by technology

[0007] The purpose of the present invention is to provide a GPU acceleration method for CT image reconstruction. Aiming at the bottleneck problem of insufficient GPU memory and slow data transmission speed from memory to video memory at present, a block processing method is proposed for large data processing, which is different from existing methods. Different, this block method can greatly reduce the data transmission, which can improve the speed of the whole volume reconstruction

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  • GPU acceleration method of CT image reconstruction
  • GPU acceleration method of CT image reconstruction

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Embodiment Construction

[0059] The present invention will be further described below in conjunction with embodiment. The BPF reconstruction algorithm of cone beam multiple scan data of the present invention is used to reconstruct the CT data of one offset large field of view, the scan model is the Shepp-logan model, and the GPU uses Nvidia's Quadro FX 4600 chip.

[0060] (1) The size of the projection data is 512×512×360, and the size of the volume to be reconstructed is 512×512×512. The reconstructed volume data is larger than the projection data. Therefore, the data texture is selected and stored as a texture at one time, and the back projection of the layer-by-layer reconstruction is reconstructed. method;

[0061] (2) Save the projection data into 90 pieces of four-channel 32-bit floating-point rectangular texture with a length of 512 and a width of 512 in the format of GL_RGBA. The projection data of each 4 adjacent angles are stored in four channels of a texture ;

[0062] (3) Utilize the CT ...

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Abstract

The invention relates to a CT image reconstruction method based on GPU hardware acceleration, which belongs to the field of X-ray CT technology. The software portion of the invention generally comprises a GPU-based CT data preprocessing module, a GPU-based CT data filter module, a GPU-based CT orthogonal protection module, and a GPU-based CT image reconstruction and back projection module. The method can achieve acceleration of CT image reconstruction algorithm by using GPU hardware, and the reconstructed portion and the data processing portion are achieved on GPU. The invention provides a segmentation processing method used for processing larger data, which aims to solve the prior problems of insufficient display memory of GPU and low data transmission speed from memory to the display memory. Different from prior methods, the segmentation processing method only needs a portion of projection data desired for each segment to be reconstructed, thus reducing data transmission and improving the entire reconstruction speed.

Description

technical field [0001] The invention belongs to the technical field of X-ray CT, and relates to a method for accelerating CT image reconstruction based on a computer graphics processor (Graphics Processing Unit, abbreviated as GPU). Background technique [0002] How to improve the reconstruction speed of CT images has always been a crucial issue, especially for volume reconstruction of 3D cone-beam CT. Cone beam CT has a large amount of data and high computational complexity, so the reconstruction speed is slow, which is one of the main factors restricting the application of three-dimensional cone beam CT. Even the optimized reconstruction method on the CPU will take a long time, for example, it takes about 5 minutes to reconstruct 512×512×512 volume data from 360 512×512 projection data. To reconstruct a high-resolution CT image, larger projection data is required, such as the PaxScan2520 panel detector image matrix of the American VARIAN company 1920*1536, and the detecto...

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Application Information

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IPC IPC(8): A61B6/03G01N23/04G03B42/02
Inventor 张慧滔赵星张尧陈德峰杨涛张朋
Owner CAPITAL NORMAL UNIVERSITY
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