Susceptibility weighted imaging (SWI) is more sensitive than T2* gradient echo MRI in detecting intracranial hemorrhage, but its acquisition time is too long. The purpose of this study is to prospectively assess the clinical feasibility of Compressed SENSE Artificial Intelligence (CS-AI) SWI by comparing it with SENSE SWI and Compressed SENSE (CS) SWI. The results suggested that the CS-AI SWI with an acceleration factor 8 was able to reduce the acquisition time of SWI by 74.58% while maintaining the image quality and accuracy of the diagnosis of intracerebral hemorrhage, except for the diagnosis of cerebral microbleeds.
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