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

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

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...

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Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1997. - 13(2004), 4 vom: 10. Apr., Seite 459-66
1. Verfasser: Archibald, Rick (VerfasserIn)
Weitere Verfasser: Hu, Jiuxiang, Gelb, Anne, Farin, Gerald
Format: Aufsatz
Sprache:English
Veröffentlicht: 2004
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Validation Study
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520 |a 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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650 4 |a Evaluation Study 
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650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Research Support, U.S. Gov't, Non-P.H.S. 
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700 1 |a Gelb, Anne  |e verfasserin  |4 aut 
700 1 |a Farin, Gerald  |e verfasserin  |4 aut 
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