Compressive sense ultrasound imaging method through GPU (graphics processing unit)

An ultrasonic imaging method and compressed sensing technology, applied in the field of image processing, can solve problems such as not being able to meet the real-time requirements of ultrasonic imaging, and achieve the effect of quasi-real-time ultrasonic imaging

Inactive Publication Date: 2015-01-28
XIDIAN UNIV
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Problems solved by technology

However, in the face of gigabytes of data, it still takes several minutes to half an hour

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  • Compressive sense ultrasound imaging method through GPU (graphics processing unit)
  • Compressive sense ultrasound imaging method through GPU (graphics processing unit)
  • Compressive sense ultrasound imaging method through GPU (graphics processing unit)

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Embodiment Construction

[0040] The present invention adopts CUDA language, can be in It is implemented on any GPU device that supports the CUDA architecture. It is recommended to choose a graphics card with a computing capability of 3.0 or higher. The stronger the computing capability, the better the optimization of the graphics card. In order to meet the requirements of large-scale matrix-vector multiplication, it is recommended that the memory capacity be more than 2GB, and multiple GPUs can be equipped to achieve a memory capacity higher than the size of the observation matrix, which can reduce the delay caused by data exchange.

[0041] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0042] refer to figure 1 , the implementation steps of the present invention are as follows:

[0043] Step 1: Discretize the detection area.

[0044] The present invention adopts sampling at equal intervals for the discretization of the detection are...

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Abstract

The invention discloses a compressive sense ultrasound imaging method through GPU (graphics processing unit) and solves the problem that the imaging reconstruction is performed slowly by the compressive sense theory. The method includes 1, according to a set resolution, discretizing the detection region and performing broadband pulse scanning on the region, acquiring echo vectors and observation matrix, and establishing an ultrasound imaging mathematical model; 2, partitioning and copying the echo vectors and observation matrix to a GPU video memory; 3, calculating an iteration step in the GPU; 4, substituting the iteration step into a fast iterative shrinkage threshold algorithm to figure out a reconstructed observation scene scattering intensity; 5, copying the scattering intensity to a main memory and arraying two-dimensional matrix, and obtaining a reconstructed ultrasound image. Compared with a traditional fast iterative shrinkage threshold algorithm, the method has the advantages that the reconstructing time is reduced by the millisecond level from the minute level, the real-time performance of ultrasound imaging is improved greatly, and the method can be applied to the field of real-time ultrasound processing.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for realizing fast imaging by using a GPU, which can be used for B-ultrasound imaging. Background technique [0002] After more than 60 years of development, medical ultrasound imaging has the advantages of relative safety, good real-time performance, non-invasiveness, portability, and low price. Together with X-ray diagnostic technology, computer tomography CT imaging technology, and nuclear magnetic resonance imaging technology, it is called modern The four major medical imaging technologies have benefited hundreds of millions of patients. [0003] However, there are still some deficiencies in ultrasound imaging, such as low resolution, mostly at the millimeter level; severe noise interference, poor image quality; general real-time performance. [0004] In recent years, the compressed sensing theory emerging in the field of signal processing has a...

Claims

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Application Information

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IPC IPC(8): A61B8/00
CPCA61B8/14A61B8/4488A61B8/5207A61B8/5215
Inventor 林杰韩亭玉贺玉高石光明
Owner XIDIAN UNIV
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