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.