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CUDA-based S-BPF reconstruction algorithm acceleration method

A technology of S-BPF and algorithm, which is applied in the direction of 2D image generation, calculation, image data processing, etc., can solve the problem of long time of image reconstruction algorithm, and achieve the effect of improving reconstruction efficiency

Inactive Publication Date: 2016-06-15
THE PLA INFORMATION ENG UNIV
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Problems solved by technology

[0042] The present invention overcomes the problem in the prior art that the image reconstruction algorithm of CT imaging takes a long time, and provides a CUDA-based S-BPF reconstruction algorithm acceleration method with obvious effects

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  • CUDA-based S-BPF reconstruction algorithm acceleration method
  • CUDA-based S-BPF reconstruction algorithm acceleration method
  • CUDA-based S-BPF reconstruction algorithm acceleration method

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[0069] The CUDA-based S-BPF reconstruction algorithm acceleration method of the present invention will be further described below in conjunction with the accompanying drawings and specific implementation methods: Acceleration methods for delayed optimization strategies. The present invention aims at the two steps of S-BPF: obtaining DBP image and finite Hilbert inverse transformation, and designs the following acceleration strategy.

[0070] In the process of obtaining the DBP image, a back projection must be executed in the following six steps: 1. The CPU reads several pieces of projection data from the hard disk; 2. Calculates the constant C used for filtering; 3. Transfers the projection data from the CPU Pass it into the GPU; 4. Weight and derive the projection data; 5. Copy the result to cudaArrary to prepare for the linear filter texture; 6. Calculate the projection position for each voxel and accumulate the corresponding projection values. Repeat 1-6 until the projecti...

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Abstract

The present invention discloses a CUDA-based S-BPF reconstruction algorithm acceleration method, which overcomes the problem in the prior art that the conventional CT imaging-based image reconstruction algorithm lasts long. The method comprises the steps of 1, reading a plurality of projections from a hard disk and calculating a constant C for the limited Hilbert inverse transformation in a CPU; 2, transmitting the plurality of projections from an internal memory to a video memory and deriving a back projection in a GPU to obtain a DBP image; 3, conducting the limited Hilbert inverse transformation on the DBP image obtained in the step 2 to transmit an obtained result from the video memory to the internal memory. According to the technical scheme of the invention, the method solves the problems in the prior art that the reconstruction algorithm-based GPU acceleration is obvious in accelerating effect and the communication delay becomes a bottleneck in limiting the existing acceleration strategy. Experimental results show that, the speed-up ratio obtained based on the above method is about 2 times based on existing policies.

Description

technical field [0001] The invention relates to an image reconstruction algorithm for CT imaging, in particular to a CUDA-based S-BPF reconstruction algorithm acceleration method. Background technique [0002] Computed Tomography (CT) can simultaneously obtain the external and internal geometric structure characteristics of objects under non-destructive conditions. In the process of CT imaging, image reconstruction has become a key factor limiting the speed of CT imaging due to its shortcoming of high time complexity. In medical treatment, in order to accurately analyze the condition, hospitals usually use CT to image the internal tissues of patients. However, due to the long reconstruction time, patients often suffer from long-term pain before receiving accurate treatment; in surgical navigation, in order to accurately locate the lesion, C-armCT is often used to image patients. In this application, the reconstruction speed has strict requirements requirements. Therefore,...

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Application Information

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IPC IPC(8): G06T11/00G06T1/20
CPCG06T11/003G06T1/20
Inventor 李磊邓林王提陈健韩玉孙艳敏王敬雨
Owner THE PLA INFORMATION ENG UNIV
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