Keywords: Bone, JointsACS combines CS, half Fourier HF and parallel imaging (PI), and introduces deep learning neural network as AI module into the reconstruction process. Millions of fully sampled data are used to train AI models, so as to suppress various reconstruction artifacts introduced by traditional acceleration methods under high acceleration factors without affecting anatomy and pathological structures. ACS is used for noise suppression, artifact reduction and information recovery. ACS can effectively correct any major errors of single acceleration methods, thus providing a higher acceleration level for MRI imaging.
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