Image-guided adaptive algorithm based on edge-preserving multi-scale deformable registration

An adaptive algorithm and edge protection technology, applied in the field of medical image analysis and processing, can solve the problems of restraint application, manual labeling, lack of spatial position information of mutual information, etc., to improve the registration accuracy and robustness, and ensure the speed. Effect

Inactive Publication Date: 2014-01-22
SHANDONG NORMAL UNIV
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Problems solved by technology

In the above-mentioned registration studies, mutual information is often used as the similarity measure of the registration scheme, and the calculation of mutual information needs to estimate the probability density function. For 3D medical image data, the calculation amount is large, and it is difficult to meet the clinical real-time requirements.
In addition, the calculation of mutual information itself lacks spatial location information
Moreover, when planning CT and CBCT registration, global deformation and local deformation coexist, and the deformations of different cases are quite different. Many problems, such as complex algorithms, huge time-consuming, manual marking, and inability to realize automatic or semi-automatic registration, restrict their application in clinical image-guided radiology systems

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  • Image-guided adaptive algorithm based on edge-preserving multi-scale deformable registration
  • Image-guided adaptive algorithm based on edge-preserving multi-scale deformable registration
  • Image-guided adaptive algorithm based on edge-preserving multi-scale deformable registration

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0028] Such as Figure 1-3 As shown, the image-guided adaptive algorithm based on edge-preserving multi-scale deformation registration, the specific implementation steps are as follows:

[0029] (1) Based on the nonlinear diffusion model, establish a multi-scale space with edge protection properties, and decompose the image in multiple scales according to the geometric size of the contour structure in the image; the specific implementation is as follows:

[0030] (a) Preprocessing. Input the reference image and the target image, and use TV-L1 to smooth and filter the image to remove noise and other high-frequency components. The preprocessed images are R(λ 0 ), F(λ 0 );

[0031] (b) R(λ 0 ) and F(λ 0 ) for multi-scale decomposition based on TV-L1 edge-protected space. Suppose the original image I 0 From the contour image I under scale II and the...

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Abstract

The invention discloses an image-guided adaptive algorithm based on edge-preserving multi-scale deformable registration, which includes the following steps that: (1) on the basis of a nonlinear diffusion TV (total variation) model, an edge-preserving multi-scale space is constructed, and carries out multi-scale decomposition on an image according to the geometric dimension of the contour structure in the image; (2) the multi-scale space is combined with a coarse-to-fine free-form deformation grid model, and according to the complexity of multi-scale image details, deformation grid density is adaptively adjusted; (3) by automatically estimating the smoothing parameter in the nonlinear diffusion model Lambda, a full-automatic multi-scale registration scheme is constructed. The algorithm can effectively increase the precision, speed and robustness of deformable registration.

Description

technical field [0001] The invention relates to a method in the technical field of medical image analysis and processing, in particular to an image-guided adaptive algorithm based on edge-protected multi-scale deformation registration. Background technique [0002] At present, in the IGRT system (Image guided radiation therapy, IGRT), the rigid body registration algorithm is mostly used for the registration of planned CT (PCT) and CBCT images during daily radiotherapy. [0003] Document 1—J. Pouliot, A. Bani-Hashemi, J. Chen, M. Svatos, F. Ghelmansarai, and et al., “Low-dose megavoltage cone-beam CT for radiation therapy,” International Journal of Radiation Oncology Biology Physics, vol.61, no.2, pp.552-560, 2005 (J.Pouliot, A.Bani-Hashemi, J.Chen, M.Svatos, F.Ghelmansarai, et al. Low-dose megavolt conical Radiation therapy with beam CT. International Journal of Radiation Oncology Biological Physics. 2005, 61 (2): 552-560) using low-dose MV-CBCT to obtain three-dimensional ...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 李登旺谷文静刘雪停刘丽
Owner SHANDONG NORMAL UNIV
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