Adaptive Threshold Masking

Image bias is a usual phenomenon in MR imaging when using surface coils. It complicates the interpretation as well as the algorithmic postprocessing of such data. We introduce a bias correction algorithm based on homomorphic unsharp masking (HUM) that is applicable on a broad range of image types (as long as fore- and background is separable), simple, fast and requires only minimal user interaction. The results of this new algorithm are superior to HUM, especially with regards to feature separability.

• Type: Conference
• Year: 2008
• Where: BILDMED
• Authors: Manuel André Gaudnek, Andreas Hess, Klaus Obermayer, Michael Sibila
• Keywords: Algorithms, Bias Correction Algorithm, BILDMED 2008, Homomorphic Unsharp Masking, Image Bias