MRI-based CT image reconstruction method

Abstract

The invention discloses a CT image reconstruction method based on MRI; the method comprises the following steps: 1), reconstructing MRI through employing a deep learning network, training the deep learning network, obtaining the under-sampling k space data of a to-be-detected object, inputting the under-sampling k space data of the to-be-detected object to the trained deep learning network, so as to obtain the online MRI of the to-be-detected object; and 2) utilizing the bidirectional generative adversarial network, and reconstructing the CT image by the MRI by utilizing the bidirectional generative adversarial network. The method has the following advantages: (1) the MRI imaging speed is high; (2) the application range is wide, and the method can be used for lung imaging and can also be used for imaging other parts of a human body; (3) a CT image is obtained through MRI reconstruction, and ionizing radiation of CT examination is avoided; and (4) the CT image obtained by reconstruction can also be used for making a radiotherapy plan and correcting PET attenuation.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to an MRI-based CT image reconstruction method. Background technique [0002] COVID-19 is highly contagious and has a high fatality rate. Early detection, early diagnosis, early treatment, and early isolation are currently the most effective means of prevention and treatment. Compared with various limitations of nucleic acid examination, CT (computed tomography) examination is timely, accurate, fast, with a high positive rate, and the extent of lung lesions is closely related to clinical symptoms. Therefore, it has become the main reference for early screening and diagnosis of patients with new coronavirus pneumonia in accordance with. According to the diagnosis and treatment plan for novel coronavirus pneumonia (Trial Sixth Edition), multiple small patchy shadows and interstitial changes appeared in the early stage of new coronary pneumonia, especially in the extr...

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