Automatic Segmentation of Ultrasound Images Using

This paper presents a method for the automatic measurement of femur length in fetal ultrasound images. Fetal femur length measurements are used to estimate gestational age by comparing the measurement to a typical growth chart. Using a real-time ultrasound system, sonographers currently indicate the femur endpoints on the ultrasound display station with a mouse-like device. The measurements are subjective and have been proven to be inconsistent. The automatic approach described in this paper exploits a priori knowledge of the general range of femoral size and shape by using morphological operators, which process images based on shape characteristics. Morphological operators are used first to remove the background (noise) from the image, next to refine the shape of the femur and remove spurious artifacts, and fi- nally to produce a single pixel-wide skeleton of the femur. The skeleton endpoints are assumed to be the femur endpoints. The length of the femur is calculated as the distance between those endpoints. A comparison of the measurements obtained with the manual and with the automated techniques is included.

[1]  L. T. Andrews,et al.  Segmentation of echocardiographic images using mathematical morphology , 1988, IEEE Transactions on Biomedical Engineering.

[2]  Petros Maragos,et al.  Morphological filters-Part II: Their relations to median, order-statistic, and stack filters , 1987, IEEE Trans. Acoust. Speech Signal Process..

[3]  S Campbell,et al.  Assessment of gestational age in the second trimester by real-time ultrasound measurement of the femur length. , 1981, American journal of obstetrics and gynecology.

[4]  R A Peters,et al.  Automatic segmentation of ultrasound images using morphological operators. , 1991, IEEE transactions on medical imaging.

[5]  Sharon A. Stansfield,et al.  ANGY: A Rule-Based Expert System for Automatic Segmentation of Coronary Vessels From Digital Subtracted Angiograms , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  T R Nelson,et al.  Fetal age estimation by ultrasound: the impact of measurement errors. , 1984, Radiology.

[7]  Anil K. Jain,et al.  A Rule Based Approach for Visual Pattern Inspection , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Xinhua Zhuang,et al.  Image Analysis Using Mathematical Morphology , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  J. J. Gerbrands,et al.  Coronary Artery Dimensions from Cineangiograms-Methodology and Validation of a Computer-Assisted Analysis Procedure , 1984, IEEE Transactions on Medical Imaging.

[10]  S. Paulin,et al.  Computerized image analysis for quantitative measurement of vessel diameter from cineangiograms. , 1983, Circulation.

[11]  Stanley R. Sternberg,et al.  Biomedical Image Processing , 1983, Computer.

[12]  R. Goldstein,et al.  Pitfalls in femur length measurements. , 1987, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

[13]  Azriel Rosenfeld,et al.  Some experiments on variable thresholding , 1979, Pattern Recognit..

[14]  Petros Maragos,et al.  Morphological filters-Part I: Their set-theoretic analysis and relations to linear shift-invariant filters , 1987, IEEE Trans. Acoust. Speech Signal Process..