Multimode medical image registration method based on SURF algorithm

A medical image, multi-modal technology, applied in the field of medical image processing, can solve the problems of geometric distortion, difficult to distinguish tissue, poor resolution, etc., to achieve the effect of improving registration accuracy

Inactive Publication Date: 2017-05-17
卡本(深圳)医疗科技有限公司
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Problems solved by technology

MR (Magnetic Resonance) images can clearly reflect the anatomical structure of soft tissues, organs, blood vessels, etc., which is helpful to determine the scope of lesions, but MR images are not sensitive to calcification points, and geometric distortion will occur due to magnetic interference
SPEC and PET images can obtain the radioactivity concentration distribution of the human body at any angle, which can reflect the metabolic level and blood flow status of tissues and organs, present "hot spots" for tumor lesions, and provide functional information of the human body. Difficult to obtain accurate anatomical structures, and difficult to distinguish the boundaries of tissues and organs

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  • Multimode medical image registration method based on SURF algorithm
  • Multimode medical image registration method based on SURF algorithm
  • Multimode medical image registration method based on SURF algorithm

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with embodiment.

[0042] A kind of multimodal medical image registration method based on SURF algorithm, it comprises the following steps:

[0043] S1. Using the SURF algorithm to extract feature points in different modal medical images; in step S1, using the SURF algorithm to extract feature points in different modal medical images are specifically:

[0044] S1.1. Calculate the eigenvalue α according to the Hessian matrix. The specific steps are as follows:

[0045] S1.1-1. Use the following Hessian matrix formula to calculate the Hessian matrix of each pixel in different modal medical images:

[0046]

[0047] Among them, x represents the gray value of each pixel in each modality medical image, L xx (x,σ),L xy (x,σ),L yy(x, σ) represents the second-order partial derivative of the current pixel in the x, y direction, that is, the convolution of the image by the second-order standard Gaussian f...

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Abstract

A multimode medical image registration method based on the SURF algorithm comprises the following steps: S1, employing the SURF algorithm to extract the feature points in different mode medical images; S2, determining the main directions of the feature points in each mode medical image, and constructing corresponding SURF feature descriptors; S3, performing matrix operation of the SURF feature descriptors of the feature points, and obtaining a transition matrix; and S4, employing the transition matrix to complete the registration of different mode medical images. The SURF algorithm compares to the SIFI algorithm, the calculation rate is greatly improved. The parallelization technology such as GPU and the like is employed to reach real-time linear registration of a big-resolution images.

Description

technical field [0001] The present invention relates to the field of medical image processing, especially a multi-modal medical image registration method based on SURF algorithm that can improve the registration accuracy of lesions or interested parts, and is helpful for clinical diagnosis and radiotherapy plan formulation and evaluation . Background technique [0002] At present, with the rapid development of computer science and technology and medical impact engineering, many advanced medical imaging devices have appeared in the world, providing medical images of various modalities for clinical medical diagnosis, and these images reflect the structure of the human body from different aspects , different information about organs and diseased tissues. [0003] For example, CT (Computed Tomography) images have strong spatial resolution and geometric characteristics, and the imaging of bones is very clear. It can provide a good reference for lesion location, but the contrast ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33
CPCG06T2207/10081G06T2207/10088G06T2207/20016G06T2207/20064
Inventor 王晓芳
Owner 卡本(深圳)医疗科技有限公司
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