Fetal head detection and measurement in ultrasound images by a direct inverse randomized Hough transform

Wei Lu; Jinglu Tan; Randall C. Floyd

doi:10.1117/12.594813

29 April 2005 Fetal head detection and measurement in ultrasound images by a direct inverse randomized Hough transform

Wei Lu, Jinglu Tan, Randall C. Floyd

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.594813
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

Object detection in ultrasound fetal images is a challenging task for the relatively low resolution and low signal-to-noise ratio. A direct inverse randomized Hough transform (DIRHT) is developed for filtering and detecting incomplete curves in images with strong noise. The DIRHT combines the advantages of both the inverse and the randomized Hough transforms. In the reverse image, curves are highlighted while a large number of unrelated pixels are removed, demonstrating a “curve-pass filtering” effect. Curves are detected by iteratively applying the DIRHT to the filtered image. The DIRHT was applied to head detection and measurement of the biparietal diameter (BPD) and head circumference (HC). No user input or geometric properties of the head were required for the detection. The detection and measurement took 2 seconds for each image on a PC. The inter-run variations and the differences between the automatic measurements and sonographers’ manual measurements were small compared with published inter-observer variations. The results demonstrated that the automatic measurements were consistent and accurate. This method provides a valuable tool for fetal examinations.

Citation Download Citation

Wei Lu, Jinglu Tan, and Randall C. Floyd "Fetal head detection and measurement in ultrasound images by a direct inverse randomized Hough transform", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.594813

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