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A fast global variational bias field correction method for MR images

 
: Ivanovska, T.; Wang, L.; Laqua, R.; Hegenscheid, K.; Völzke, H.; Liebscher, V.

Ramponi, G.:
8th International Symposium on Image and Signal Processing and Analysis, ISPA 2013. Proceedings : Trieste, Italy, September 4-6, 2013
Zagreb: University of Zagreb, 2013
ISBN: 978-953-184-187-0
ISBN: 978-1-4799-3125-5 (print)
ISBN: 978-953-184-194-8
S.667-671
International Symposium on Image and Signal Processing and Analysis (ISPA) <8, 2013, Trieste>
Englisch
Konferenzbeitrag
Fraunhofer MEVIS ()

Abstract
Magnetic resonance (MR) images are prone to inhomogeneity artefacts that hinder an efficient automatic segmentation. Existing correction methods are often dependent on initialization and computationally expensive. This paper proposes a novel variational approach for the simultaneous bias field correction and image segmentation together with its efficient implementation, which produces the global solution that does not depend on initializations. The method is compared against another recently proposed method in terms of speed, efficiency, and performance.

: http://publica.fraunhofer.de/dokumente/N-300758.html