Kai Zhong1, Oliver Speck1
1Biomedical Magnetic Resonance, Otto-von-Guericke University, Magdeburg, Saxon-Anhalt, Germany
Susceptibility Weighted Imaging (SWI) has been proposed to enhance the image contrast, especially between small veins and surrounding tissues and has received wide acceptance in clinical MR studies. On the other hand, it was not discussed in detail whether the original SWI filter indeed optimally exploits magnitude and phase information. A generalized filter based on the sigmoidal function was applied for SWI contrast and showed higher contrast compared to the original SWI filter. The new filter can be parameterized and thus can be dynamically adapted to the data input to improve the overall SWI contrast and therefore should improve the outcome of future studies utilizing SWI contrast.