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

Author

Archibald, Rick ; Hu, Jiuxiang ; Gelb, Anne ; Farin, Gerald

Author_Institution

Center for Syst. Sci. & Eng. Res., Arizona State Univ., Tempe, AZ, USA

Volume

13

Issue

4

fYear

2004

fDate

4/1/2004 12:00:00 AM

Firstpage

459

Lastpage

466

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.

Keywords

Weibull distribution; edge detection; image reconstruction; image segmentation; magnetic resonance imaging; Gegenbauer image reconstruction; Weibull E-SD field segmentation; Weibull distribution; concentration edge detection; expectancy-standard deviation; magnetic resonance imaging; preprocessing boundary detection; volumetric segmentation; Image edge detection; Image reconstruction; Image segmentation; Magnetic field measurement; Magnetic resonance; Magnetic resonance imaging; Multidimensional systems; Reconstruction algorithms; Systems engineering and theory; Testing; Algorithms; Animals; Brain; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Magnetic Resonance Imaging; Mice; Pattern Recognition, Automated; Quality Control; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/TIP.2003.819862

Filename

1284382