Christian Wrslin1, Fritz Schick1
1Department of Diagnostical and Interventional Radiology, Section on Experimental Radiology, University Hospital Tbingen, 72076 Tbingen, Germany
Images, acquired at high field strengths usually suffer from a high amount of image non-uniformities (INUs), which cause a large amount of automatic post-processing techniques (e.g. for quantification) to fail. This applies especially for abdominal image slices, where INUs are particularly strong and common INU correction schemes do not apply. The authors therefore propose a correction algorithm which incorporates anatomic information for the compensation of heavily corrupted images. The algorithm was validated on real and simulated image data and showed a high potential in the reduction of INUs, enabling further post-processing procedures, such as thresholding, at high field strengths.