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Deformation medical image registration method based on PCA and diffeomorphism Demons

A medical image and diffeomorphism technology, applied in the field of medical image processing, can solve the problems that cannot be applied to all images

Inactive Publication Date: 2014-10-08
BEIJING UNIV OF TECH
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Problems solved by technology

[0006] The purpose of the present invention is to propose a method based on PCA and diffeomorphism log demons, and use the extracted features as SSD, Pearson, etc. The input of the property measure, the experimental results show that the PCA-Demons method is more robust and improves the convergence speed

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  • Deformation medical image registration method based on PCA and diffeomorphism Demons
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  • Deformation medical image registration method based on PCA and diffeomorphism Demons

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Embodiment Construction

[0066] The technical scheme that the present invention takes is:

[0067] A deformation medical image registration method based on PCA diffeomorphism Demons. The method first pre-registers the image through affine transformation, and normalizes the gray value of the image to between 0 and 255. During the cyclic registration process, the deformation field is calculated using the diffeomorphic log demons method and smoothed with a Gaussian filter. The fixed reference image F and the registered moving image Mp are subjected to PCA dimensionality reduction, which ensures the consistency of image spatial position information while retaining key features. Input the matrix obtained by dimensionality reduction to SSD, Pearson, Spearman, Kendall to calculate the similarity between two sequences. The original image and the 3D and 2D image sequences added with Gaussian noise are used for testing. The experimental results show that, under the condition of ensuring the original registra...

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Abstract

The invention relates to a deformation medical image registration method based on PCA and diffeomorphism Demons, and belongs to the technical field of medical image processing. According to the method, preprocessing is carried out on collected images, a multiresolution mechanism is then adopted, registration circulation is carried out under set iterations, a deformation field of movable images is calculated, smoothing is carried out through a Gaussian filter, interpolation is carried out on the movable images in an index domain by utilizing an obtained deformation field matrix, key features of the images are extracted by using PCA, and similarity measure between two images is calculated by combining SSD, Pearson, Spearman and Kendall. Compared with a traditional demons method, a PCA diffeomorphism log demons related registration method reduces calculated quantity, can restrain noise quite well, and is higher in robustness than a method that SSD similarity measure is merely adopted, the convergence speed is increased.

Description

technical field [0001] The invention relates to a deformation medical image registration method based on PCA and diffeomorphism Demons algorithm, which belongs to the technical field of medical image processing. Background technique [0002] Computer-assisted surgery is an interventional surgery that relies on image guidance. It uses advanced imaging equipment in the medical field such as CT, MRI, PET, etc. before surgery to obtain multi-mode medical image data of the lesion, and the doctor formulates a reasonable surgical plan. During the operation, computer and stereotaxic system are used for image correlation processing and real-time monitoring, and a certain guidance system is used to intervene in the operation. The most important index affecting the performance of surgical navigation system is the accuracy of surgical guidance. Image data, stereotaxic technology, registration algorithm and image drift are the main factors affecting the accuracy. Among them, medical im...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 贾克斌赵丽亚
Owner BEIJING UNIV OF TECH
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