Abstract #1176
RF and Coil Inhomogeneity Correction in 2D Leg Images: A New Method Comparing with LEMS
Faezeh Fallah 1,2 , Christian Wuerslin 1 , Fritz Schick 1 , and Bin Yang 2
1
Section on Experimental Radiology,
University Clinic of Tbingen, Tbingen,
Baden-Wuerttemberg, Germany,
2
Institute
of Signal Processing and System Theory, University of
Stuttgart, Stuttgart, Baden-Wuerttemberg, Germany
To provide an optimal basis for automatic tissue
segmentation and enhancement of visual inspection of the
magnitude images, we propose an anatomic-supported,
reliable and fast algorithm for mitigation of intensity
inhomogeneities resulting from modern array coils and
dielectric effects. The skeletal musculature consisting
of different muscle groups separated by fascia is
considered as reference. This method is a generalization
of the previous method, by making it applicable to
different image orientations, T1-weighted and
fat-suppressed images. Performance in terms of the mean
coefficient of the variance of the muscle tissues is
compared with local entropy minimization with bi-cubic
spline model (LEMS).
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