Multimode medical image fusion method based on translation constant shear wave transformation
A translation-invariant, medical image technology, applied in the field of medical image processing and applications, can solve the problems of high-frequency sub-band correlation loss in different modal images
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Embodiment 1
[0075] Example 1: MRI-SPECT Fusion
[0076] The image fusion method of this embodiment first considers how to obtain more direction information from the original image: the decomposition of high-frequency subbands and the maintenance of translation invariance; secondly, how to combine the extracted low-frequency sub-band and high-frequency sub-band information As much as possible is transferred to the fusion image: low-frequency sub-band fusion avoids reducing the contrast of the image; high-frequency sub-band fusion avoids the loss of relevant information between sub-bands and the intervention of too much artificial experience.
[0077] Such as figure 1 shown, including the following steps:
[0078] Step 1: Yes Figure 5a and Figure 5b The shown SPECT image and MRI image to be fused are subjected to IHS transformation to obtain the Intensity component of the image, and then translation-invariant shearlet decomposition is performed on it. The implementation consists of tw...
Embodiment 2
[0115] Example 2: MRI-PET Fusion
[0116] The method provided by the present invention can realize high-quality fusion of head MRI images and SPECT images under common hardware conditions, and the original resolution of MRI images and PET images is 256×256, such as Figure 7a and Figure 7b shown.
[0117] Step 1: Perform IHS transformation on the MRI image and PET image to be fused to obtain the Intensity component of the image, and then perform translation-invariant shearlet decomposition on it. The implementation consists of two steps: multi-scale segmentation and orientation localization. Whole process is with embodiment 1.
[0118] Step 2: Low-frequency approximate image fusion and high-frequency image sub-band fusion in all directions:
[0119] 1) For low-frequency approximate image fusion, a fusion rule based on the absolute value and weight of the region coefficient is adopted;
[0120] 2) For each direction subband of the high-frequency detail image, the fusion r...
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