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Computed tomography (CT) image rebuilding accelerating method based on compute unified device architecture (CUDA)

A CT image, weighted filtering technology, applied in the medical field, to achieve the effect of improving the reconstruction speed

Active Publication Date: 2013-09-18
XIDIAN UNIV
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Problems solved by technology

[0007] In view of the deficiencies in the prior art, the present invention aims to provide a fast asynchronous parallel processing method for CT image reconstruction, aiming at the current bottleneck problem of serial execution of data input, data weighting, data filtering and back projection during cone beam reconstruction, A reconstruction method based on GPU asynchronous parallel processing in CUDA architecture is proposed to improve the reconstruction speed

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  • Computed tomography (CT) image rebuilding accelerating method based on compute unified device architecture (CUDA)
  • Computed tomography (CT) image rebuilding accelerating method based on compute unified device architecture (CUDA)
  • Computed tomography (CT) image rebuilding accelerating method based on compute unified device architecture (CUDA)

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings.

[0034] Such as figure 1 As shown, it is the cone beam scanning geometry of the flat panel detector, the distance from the ray source to the center of rotation is R, the distance from the ray source to the detector is D, the fan angle is γ, and the cone angle is τ, which is called the ray source to the detector center and The ray perpendicular to the detector is the central ray, and the FDK algorithm reconstruction formula is:

[0035] f ( x , y , z ) = 1 2 ∫ 0 2 π dλ R 2 U 2 ( x ...

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Abstract

The invention discloses a computed tomography (CT) image rebuilding accelerating method based on compute unified device architecture (CUDA). A device using the method mainly achieves data asynchronization parallel processing and comprises a data reading module, a CT data weighted filtering module based on a ground power unit (GPU), a CT image rebuilding back projection module based on the GPU and a data output module. By means of a CUDA stream technology, application programs achieve task level parallelization, namely the GPU can execute two or more different tasks parallelly.

Description

technical field [0001] The invention relates to the intersection of the medical field and the electronic technology field, in particular to a method for accelerating CT image reconstruction based on a CUDA framework in the X-ray CT technology field. Background technique [0002] CT (Computed Tomography) reconstruction, especially 3D reconstruction, is computationally intensive and time-consuming, and the computational complexity is proportional to the product of the volume of reconstructed volume data and the number of projection views. For example, reconstructing 512 sheets of 512×512 from 360 projection views size of the image (i.e. 512 3 volume) has a computational complexity of 360×512 3 . How to improve the reconstruction speed has been paid more and more attention by more and more people. In the proceedings of the 11th Fully3D (The11th International Meeting on Fully Three-Dimensional Image Reconstruction) conference held in 2011, about 1 / 4 of the articles involved th...

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Application Information

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IPC IPC(8): G06T17/00G06T1/20
Inventor 朱守平宋亚鹏屈晓超陈多芳冉超金征宇梁继民
Owner XIDIAN UNIV
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