title: Improving the accuracy of volumetric segmentation using pre-processing boundary detection and image reconstruction.
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.
authors.affiliation: Center for System Science and Engineering Research (SSERC), Arizona State University, Tempe, AZ 85287, USA. archi@math.la.asu.edu
authors.forename: Rick
authors.initials: R
authors.lastname: Archibald
authors.forename: Jiuxiang
authors.initials: J
authors.lastname: Hu
authors.forename: Anne
authors.initials: A
authors.lastname: Gelb
authors.forename: Gerald
authors.initials: G
authors.lastname: Farin
mesh_terms: D000465:Algorithms; D000818:Animals; D001921:Brain / Q000033:anatomy & histology*; D003198:Computer Simulation; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D051379:Mice; D010363:Pattern Recognition, Automated; D011786:Quality Control; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted