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Proceedings Paper

Fetal head detection and measurement in ultrasound images by an iterative randomized Hough transform
Author(s): Wei Lu; Jinglu Tan; Randall C Floyd
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Paper 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.

Paper Details

Date Published: 12 May 2004
PDF: 9 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.533073
Show Author Affiliations
Wei Lu, Univ. of Missouri/Columbia (United States)
Jinglu Tan, Univ. of Missouri/Columbia (United States)
Randall C Floyd, Univ. of Missouri/Columbia (United States)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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