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Automatic Estimation of Gestational Age in Ultrasound Images Based on Direct Least‐Squares Fitting of Ellipse
Author(s) -
Marhaban M. H.,
Kaid Rakeeb S.,
Mohd Noor Samsul B.
Publication year - 2010
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.20574
Subject(s) - ellipse , fetal head , artificial intelligence , biparietal diameter , ultrasound , preprocessor , computer vision , noise (video) , computer science , mathematics , pattern recognition (psychology) , gestational age , image (mathematics) , head circumference , medicine , radiology , geometry , fetus , pregnancy , biology , genetics
Measurement of the fetal head biparietal diameter (BPD) and head circumference (HC) is crucial for estimation of fetal age. Due to the noisy nature of ultrasound images and variation in image acquisition and measurement techniques, manual measurements of these parameters are subject to inter‐ and intraobserver variability. In this study, we present an approach for estimation of gestational age in ultrasound images, based on direct least‐squares fitting of an ellipse. The process goes through three steps: image preprocessing, object extraction, and fitting an ellipse to the resultant shape and measuring its parameters. The proposed technique was tested and evaluated on 20 ultrasound images of fetal head. The images had a combination of noise and low contrast. Excellent linear correlation between manual and automatic measurement was obtained, which verifies the reliability of the proposed automatic approach. © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.