Improving the accuracy of volumetric segmentation using pre-processing boundary detection and image reconstruction
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Published on: July 26, 2014
Rick Archibald1, Jiuxiang Hu, Anne Gelb
1Center for System Science and Engineering Research (SSERC), Arizona State University, Tempe, AZ 85287, USA. archi@math.la.asu.edu
Abstract:
The concentration edge -detection and Gegenbauer image-reconstruction methods were previously shown to improve the quality of segmentation in magnetic resonance imaging. In this study, these methods are utilized as a pre-processing step to the Weibull E-SD field segmentation. It is demonstrated that the combination of the concentration edge detection and Gegenbauer reconstruction method improves the accuracy of segmentation for the simulated test data and real magnetic resonance images used in this study.
