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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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