Fetal head detection and measurement in ultrasound images by an iterative randomized Hough transform

Wei Lu; Jinglu Tan; Randall C Floyd

doi:10.1117/12.533073

12 May 2004 Fetal head detection and measurement in ultrasound images by an iterative randomized Hough transform

Wei Lu, Jinglu Tan, Randall C Floyd

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.533073
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

This paper describes an automatic method for measuring the biparietal diameter (BPD) and head circumference (HC) in ultrasound fetal images. A total of 217 ultrasound images were segmented by using a K-Mean classifier, and the head skull was detected in 214 of the 217 cases by an iterative randomized Hough transform developed for detection of incomplete curves in images with strong noise without user intervention. The automatic measurements were compared with conventional manual measurements by sonographers and a trained panel. The inter-run variations and differences between the automatic and conventional measurements were small compared with published inter-observer variations. The results showed that the automated measurements were as reliable as the expert measurements and more consistent. This method has great potential in clinical applications.

Citation Download Citation

Wei Lu, Jinglu Tan, and Randall C Floyd "Fetal head detection and measurement in ultrasound images by an iterative randomized Hough transform", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.533073

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