Different-resolution medical image registration system based on GPU parallel computing

A medical image and parallel computing technology, applied in the field of image processing, can solve problems such as registration accuracy limitations, achieve high registration efficiency, high registration accuracy, and reduce CT radiation dose and scanning time.

Pending Publication Date: 2020-12-18
高容科技(上海)有限公司
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Problems solved by technology

It can be seen that this method needs to extract blood vessel boundaries as feature points. When the amount of information is small, the registration accuracy will be greatly limited. In addition, the size of the image to be registered and the reference image in this method are the same, so its Not suitable for complex work scenarios, such as puncture navigation and registration between different imaging devices

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  • Different-resolution medical image registration system based on GPU parallel computing

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[0015] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0016] Embodiments of the present invention relate to a medical image registration system with different resolutions based on GPU parallel computing, such as figure 1 As shown, it includes: a first image acquisition module, a second image acquisition module, a control point generation module, a registration module and an output module.

[0017] In this embodiment, the first image acquisition module is configured to acquire a r...

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Abstract

The invention relates to a different-resolution medical image registration system based on GPU parallel computing, and the system comprises a first image obtaining module which is used for obtaining areference image; a second image acquisition module which is used for acquiring an image to be registered; a control point generation module which is used for generating a plurality of control nodes of which the initial deformation parameters are zero in space; and a registration module which is used for carrying out global registration under different scales and fitting the deformation parameterson the control node in a B spline curve fitting mode. According to the system, registration of medical images with different resolutions can be realized on the GPU on the premise of not extracting feature points.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a medical image registration system with different resolutions based on GPU parallel computing. Background technique [0002] Medical image registration is an important and complex task in the field of image processing research, because medical images come from different acquisition devices, different scanning times, different shooting angles, different research objects, etc. Therefore, it is often necessary to perform image registration before image fusion, image segmentation, and other subsequent processing to achieve the same anatomical structure corresponding to the same position in space in different acquired images. [0003] Traditional image registration methods mainly use CPU, and include feature-based methods, which often need to use edge, surface, pixel and other information for feature extraction. The success of registration depends largely on the extracted fe...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/20G06T7/30G06T3/00G06T3/40
CPCG06T1/20G06T7/30G06T3/0006G06T3/4007
Inventor 周欣欢张忞
Owner 高容科技(上海)有限公司
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