Multimodality medical image fusion method based on multiscale anisotropic decomposition and low rank analysis

An anisotropic, medical image technology, applied in image enhancement, image data processing, graphics and image conversion, etc., can solve the problems of lack of details in fused images and inability to effectively extract detailed information, so as to improve structural awareness and increase details Information content, effect of improving visual contrast

Active Publication Date: 2015-01-21
BEIJING UNIDRAW VR TECH RES INST CO LTD
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The main disadvantage of this type of method is that the wavelet kernel function used has nothing to do with the processed data, and c

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  • Multimodality medical image fusion method based on multiscale anisotropic decomposition and low rank analysis
  • Multimodality medical image fusion method based on multiscale anisotropic decomposition and low rank analysis
  • Multimodality medical image fusion method based on multiscale anisotropic decomposition and low rank analysis

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[0036] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0037] figure 1 The general processing flow of multi-modal medical image fusion method based on multi-scale anisotropy decomposition and low-rank analysis is given. figure 2 and image 3 The detailed steps of multi-scale image representation method based on thermonuclear pyramid and saliency information scale space construction method based on low-rank analysis are given respectively.

[0038] The present invention provides a multi-modal medical image fusion method based on multi-scale anisotropic decomposition and low-rank analysis, the main steps of which are introduced as follows:

[0039] 1. Multi-scale image representation based on thermonuclear pyramid

[0040] In order to effectively extract the inherent structural information of the input image and encode it into the used thermal kernel, the present invention proposes to down-sample...

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Abstract

The invention provides a multimodality medical image fusion method based on multiscale anisotropic decomposition and low rank analysis. The method comprises the following steps that (1) an image pyramid is established for input images, the images on each layer are subjected to meshing, an anisotropic heat kernel related to data is established, and multiscale representation of the images is achieved; (2) the images in different scales are grouped, low rank analysis is established for each group, low rank parts are extracted, meanwhile, noise is effectively filtered out, and a multiscale space is established by extracted obvious information; (3) in each layer of the image pyramid, low-frequency information is fused by a S-type function, high-frequency information is fused by a maximum selection strategy, and interlayer sampling weights of the pyramid are fused. According to the multimodality medical image fusion method, good robustness is achieved for fusion of noise images.

Description

technical field [0001] The invention relates to a multi-modal medical image fusion method based on multi-scale anisotropy decomposition and low-rank analysis. Background technique [0002] In clinical medicine, the medical influence of a single modality usually cannot meet the needs of medical staff. Medical diagnosis provides medical images of various modalities, which can be divided into two categories: anatomical structure images (such as: B-ultrasound, CT, MRI) and functional images (such as: PET, SPECT). Due to differences in imaging principles , different kinds of images also have their own advantages and disadvantages. For example, CT images have high spatial resolution and geometric characteristics, and can present human bones very clearly, which is convenient for providing good lesion localization, but the detection effect on human soft tissues is poor, while the imaging effect of human tissues in MRI images is better , is conducive to the determination of the les...

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Application Information

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IPC IPC(8): G06T5/50G06T3/40
Inventor 郝爱民王青正李帅秦洪
Owner BEIJING UNIDRAW VR TECH RES INST CO LTD
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