Measuring and evaluating ground truth for boundary detection in medical images

Author

Cheng, Irene ; Flores-Mir, Carlos ; Major, Paul ; Basu, Anup

Author_Institution

Computer and Information Sciences Department, University of Pennsylvania, USA

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

5889

Lastpage

5892

Abstract

In this paper we describe a methodology for measuring the ground truth for boundary detection methods in medical images. An interface is used to allow medical experts to outline boundaries of interest on images. Following this, the accuracy of the experts in repeating the ground truth detection process is evaluated. Finally, an approach is described for comparing the ground truth as provided by experts with actual boundaries detected automatically. Experimental results are presented to validate the proposed algorithms.

Keywords

Biomedical imaging; Data visualization; Distortion measurement; Gravity; Image registration; Magnetic resonance imaging; Medical diagnostic imaging; Object detection; Skin; Ultrasonic imaging; Algorithms; Artificial Intelligence; Face; Image Enhancement; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4650554

Filename

4650554