Dual-energy CT super-resolution image reconstruction method and system based on sparse representation
A super-resolution image, sparse representation technology, applied in image data processing, graphic image conversion, 2D image generation and other directions, can solve the problem of insufficient low-resolution images, non-unique reconstruction constraint solutions, etc., to reduce computational complexity degree, improve resolution, and the effect of good application prospects
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[0029] In order to make the purpose, technical solution and advantages of the present invention more clear and understandable, the present invention will be further described in detail below in conjunction with the accompanying drawings and technical solutions.
[0030]In dual-energy spectral CT super-resolution, there are low photon counts in the narrow energy bin width of the photon-counting detector, quantum noise and non-uniform response of the detector unit, which lead to low imaging resolution. To this end, an embodiment of the present invention provides a dual-energy CT super-resolution image reconstruction method based on sparse representation, see figure 1 As shown, it contains the following content:
[0031] Collect high-resolution dual-energy images under the low-energy spectrum and high-energy spectrum, and filter and down-sample the high-resolution dual-energy images to obtain low-resolution dual-energy images that match the high-resolution dual-energy images unde...
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