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Improving the accuracy of volumetric segmentation using pre-processing boundary detection and image reconstruction.

Rick Archibald·Jiuxiang Hu·Anne Gelb·Gerald Farin
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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.

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AlgorithmsAnimalsBrainComputer SimulationImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalInformation Storage and RetrievalMagnetic Resonance ImagingMicePattern Recognition, AutomatedQuality ControlReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedComparative StudyEvaluation StudyJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, Non-P.H.S.Validation Study

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Rick Archibald, Jiuxiang Hu, Anne Gelb, Gerald Farin. 2004. Improving the accuracy of volumetric segmentation using pre-processing boundary detection and image reconstruction.. https://doi.org/10.1109/tip.2003.819862

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