Multi-parameter MRI image fusion method and device of U-net network
A fusion method and multi-parameter technology, which is applied in the field of multi-parameter MRI image fusion, can solve the problems of missed detection and false detection, manual switching of images is cumbersome, etc., to reduce false detection rate, improve clarity and contrast, and avoid energy loss Effect
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Embodiment 1
[0060] like figure 1 As shown, the fusion method of the multi-parameter MRI image of a kind of U-net network that the embodiment of the present invention provides, comprises:
[0061] S11, acquiring an MRI image pair of the prostate;
[0062] Wherein, the image pair includes an ADC image and a T2W image.
[0063] It can be understood that the MRI image pair is composed of an ADC image of the prostate and a T2W image of the prostate of the same person, so that the image after image fusion is an image of the prostate of the person.
[0064] S12, combining the ADC image and the T2W image to obtain a combined image;
[0065] It can be understood that after the ADC image and the T2W image are merged, the ADC image and the T2W image are merged into a dual-channel image, which provides an input image for subsequent entry into U-net.
[0066] S13, inputting the merged image into the trained U-net network, and obtaining a weighted image output by the U-net network with the same size...
Embodiment 2
[0078] As an optional embodiment of the present invention, the above step of S14 includes:
[0079] Step 1: Laplacian pyramid decomposition is performed on the ADC image and the T2W image respectively;
[0080] Step 2: Decompose the weighted image into a Gaussian pyramid.
Embodiment 3
[0082] As an optional embodiment of the present invention, the above step of S15 includes:
[0083] Step 1: For each pixel of the decomposed ADC image, calculate the sum of the squares of the pixel values in a preset window centered on the pixel to obtain the first local energy of the decomposed ADC image;
[0084] Step 2: For each pixel in the decomposed T2W image, calculate the sum of squares of the pixel values in a preset window centered on the pixel to obtain the second local energy of the decomposed T2W image.
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