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Non-rigid medical image registration method and system

A medical imaging, non-rigid technology, applied in the field of image processing, can solve the problem of affecting the calculation efficiency of matching accuracy, and achieve the effects of low calculation efficiency, improved accuracy and efficiency, and improved registration accuracy

Pending Publication Date: 2020-12-18
SHANDONG UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The inventors found that the deformation of many organs of the human body is irregular, such as lungs, liver and other organs, so it involves non-rigid registration, which affects the matching accuracy between the path planned by the robot and the expected surgical path during the operation and Computational efficiency

Method used

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  • Non-rigid medical image registration method and system
  • Non-rigid medical image registration method and system

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Embodiment 1

[0034] Based on the non-rigid registration mentioned in the background technology that affects the matching accuracy and calculation efficiency between the path planned by the robot and the expected surgical path during the operation, this embodiment combines the B-spline registration of the SURF feature Method, based on the SURF feature extraction method, through the rough registration of the extracted feature points to the reference image, the global deformation can be removed, and the initial position of the floating image can be obtained. Such as figure 1 , perform SURF feature detection on two images, extract feature points for matching, and then obtain registration parameters and transformation relations according to the corresponding feature points. It is proposed to use the method of deep learning to calculate the similarity measure, insert the neural network into the registration framework, and propose a control grid selection strategy in the process of B-spline regis...

Embodiment 2

[0058] This embodiment provides a non-rigid medical image registration system, which includes:

[0059] Coarse registration module, it is used for extracting the feature point of reference image and floating image, carries out coarse registration to floating image, obtains the initial position of floating image;

[0060] A fine registration module, which is used to use the feature points corresponding to the reference image and the floating image as the control points of the B-spline energy field, and use local area multi-level non-uniform B-splines to perform fine registration on the floating image;

[0061] A registration evaluation module, which is used to calculate the similarity measure of the registered reference image and the floating image, and judge whether it meets the preset similarity measure, and if so, output the registration parameters; otherwise, adjust the multi-level non-uniform B of the local area The spline parameters continue to fine-tune the registration ...

Embodiment 3

[0064] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps in the non-rigid medical image registration method described in the first embodiment above are implemented.

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Abstract

The invention belongs to the field of image processing, and provides a non-rigid medical image registration method and system. The non-rigid medical image registration method comprises the steps of extracting feature points of a reference image and a floating image, and performing coarse registration on the floating image to obtain an initial position of the floating image; taking the feature points corresponding to the reference image and the floating image as control points of a B spline energy field, and carrying out fine registration on the floating image by adopting a local region multi-level non-uniform B spline; calculating the similarity measure of the reference image and the floating image after registration, judging whether the similarity measure meets a preset similarity measureor not, and if yes, outputting registration parameters; otherwise, adjusting the multi-level non-uniform B-spline parameters of the local area to continue to perform fine registration on the floatingimage until the preset similarity measure is met. According to the invention, a local region multi-layer non-uniform B spline is adopted, and grids are further refined for a region with a poor registration effect, so that the registration precision and efficiency are improved.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a non-rigid medical image registration method and system. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] In recent years, service robots have developed rapidly, especially medical surgical robots. During the operation, doctors are under great pressure. Sometimes very precise positions need to be manually operated by doctors. This is not only time-consuming, but also may cause misoperation, and the degree of automation is low. In the process of radiotherapy surgery, the introduction of radiotherapy surgery robots to assist doctors can greatly improve the quality of surgery. During the puncture process, it is necessary to accurately find the location of the case, so it is hoped that the path is planned in advance in the preoperative medical image...

Claims

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Application Information

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IPC IPC(8): G06T7/33G16H30/20G06N3/12
CPCG06T7/33G16H30/20G06N3/126G06T2207/20016Y02T10/40
Inventor 宋锐范明旭魏莹李贻斌荣学文姬冰
Owner SHANDONG UNIV
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