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

Rick Archibald; Jiuxiang Hu; Anne Gelb; Gerald Farin

doi:10.1109/TIP.2003.819862

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

Rick Archibald, Jiuxiang Hu, Anne Gelb, Gerald Farin

Mathematical and Statistical Sciences, School of (SoMSS)

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

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.

Original language	English (US)
Pages (from-to)	459-466
Number of pages	8
Journal	IEEE Transactions on Image Processing
Volume	13
Issue number	4
DOIs	https://doi.org/10.1109/TIP.2003.819862
State	Published - Apr 2004

Keywords

Edge detection
Gegenbauer reconstruction
Magnetic resonance imaging
Three dimensional (3-D) segmentation
Weibull E-SD field

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

Access to Document

10.1109/TIP.2003.819862

Cite this

@article{ffeb49289f8845e38f58098ecc1a974c,

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.",

keywords = "Edge detection, Gegenbauer reconstruction, Magnetic resonance imaging, Three dimensional (3-D) segmentation, Weibull E-SD field",

author = "Rick Archibald and Jiuxiang Hu and Anne Gelb and Gerald Farin",

note = "Funding Information: Manuscript received July 14, 2003; revised September 9, 2003. This work supported in part by the Center for System Science and Engineering Research at Arizona State University, by the Arizona Center for Alzheimer{\textquoteright}s Disease Research, by the U.S. Defense Advanced Research Projects Agency under Grant MDA 972-00-1-0027, and by the National Science Foundation under Grant DMS01-07428, Grant EAR0222327, and Grant IIS-998016. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Attila Kuba.",

year = "2004",

month = apr,

doi = "10.1109/TIP.2003.819862",

language = "English (US)",

volume = "13",

pages = "459--466",

journal = "IEEE Transactions on Image Processing",

issn = "1057-7149",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - Improving the accuracy of volumetric segmentation using pre-processing boundary detection and image reconstruction

AU - Archibald, Rick

AU - Hu, Jiuxiang

AU - Gelb, Anne

AU - Farin, Gerald

N1 - Funding Information: Manuscript received July 14, 2003; revised September 9, 2003. This work supported in part by the Center for System Science and Engineering Research at Arizona State University, by the Arizona Center for Alzheimer’s Disease Research, by the U.S. Defense Advanced Research Projects Agency under Grant MDA 972-00-1-0027, and by the National Science Foundation under Grant DMS01-07428, Grant EAR0222327, and Grant IIS-998016. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Attila Kuba.

PY - 2004/4

Y1 - 2004/4

N2 - 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.

AB - 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.

KW - Edge detection

KW - Gegenbauer reconstruction

KW - Magnetic resonance imaging

KW - Three dimensional (3-D) segmentation

KW - Weibull E-SD field

UR - http://www.scopus.com/inward/record.url?scp=1942436695&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=1942436695&partnerID=8YFLogxK

U2 - 10.1109/TIP.2003.819862

DO - 10.1109/TIP.2003.819862

M3 - Article

C2 - 15376580

AN - SCOPUS:1942436695

SN - 1057-7149

VL - 13

SP - 459

EP - 466

JO - IEEE Transactions on Image Processing

JF - IEEE Transactions on Image Processing

IS - 4

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this