Post-processing Algorithm of Susceptibility Weighted Imaging and Its Clinical Application

Susceptibility Weighted Imaging(SWI) non-invasively displays the intracranial venous structure, which is significant in the clinical diagnosis of brain tumor, vascular malformation, and other central nervous diseases. This paper analyzes the unique image post-processing and reconstruction algorithm of SWI, and verifies its effectiveness through simulation images. This algorithm proves a better sensitivity to supratentonial venous and the lesion territory of tumor and vascular malformation compared with the traditional Magnetic Resonance Imaging(MRI) methods.