A practical clinical method for contour determination in ultrasonographic prostate images.

This paper describes a practical method for automated determination of the contour of the prostate in ultrasonographic images. In this method, we use specific edge detection techniques, based on nonlinear Laplace filtering. Possible edges are located at zero-crossings of the second derivative of the image. The strength of the edge is reflected by the value of the gradient of the image at that location. Combining the information about location and strength, an edge intensity image is constructed from the initial ultrasonographic image. In our method, edge enhancement techniques are performed on the edge intensity image. Edges that actually represent a boundary are selected and linked: interpolation techniques are used to fill the gaps between detected boundary edges. The method for contour determination in ultrasonographic images is used for accurate volume measurements in an everyday clinical environment. Its computer implementation is fast, accurate (mean difference within 6% of exact volume) and easy to use.

[1]  C T Chen,et al.  Epicardial boundary detection using fuzzy reasoning. , 1991, IEEE transactions on medical imaging.

[2]  R. J. Lee,et al.  Ultrasonically determined patterns of enlargement in benign prostatic hyperplasia. , 1993, British journal of urology.

[3]  Robert M. Haralick,et al.  Digital Step Edges from Zero Crossing of Second Directional Derivatives , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Lucas J. van Vliet,et al.  A nonlinear laplace operator as edge detector in noisy images , 1989, Comput. Vis. Graph. Image Process..

[5]  B. Kelly,et al.  Determination of prostate gland volume by transrectal ultrasound: correlation with radical prostatectomy specimens. , 1991, Scandinavian journal of urology and nephrology. Supplementum.

[6]  Gérard G. Medioni,et al.  Detection, Localization, and Estimation of Edges , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  A. Hendrikx,et al.  Audex Medical, a new system for digital processing and analysis of ultrasonographic images of the prostate. , 1991, Scandinavian journal of urology and nephrology. Supplementum.

[8]  Automatic Prostate Carcinoma Detection By The Use Of Tissue Characterisation , 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

[9]  Azriel Rosenfeld,et al.  Digital Picture Processing , 1976 .

[10]  K. Jensen,et al.  Significance of prostatic weight in prostatism. , 1983, Urologia internationalis.

[11]  Q M Zhu,et al.  Edge extraction by active defocusing. , 1991, Spatial vision.

[12]  M. Terris,et al.  Determination of prostate volume by transrectal ultrasound. , 1991, The Journal of urology.

[13]  Benjamin Bell,et al.  Contour Tracking and Corner Detection in a Logic Programming Environment , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  J. S. Prater,et al.  Segmenting ultrasound images of the prostate using neural networks. , 1992, Ultrasonic imaging.

[15]  D. R. Jones,et al.  Assessment of volume measurement of the prostate using per-rectal ultrasonography. , 1989, British journal of urology.

[16]  E J Delp,et al.  Detecting left ventricular endocardial and epicardial boundaries by digital two-dimensional echocardiography. , 1988, IEEE transactions on medical imaging.

[17]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  Robert M. Haralick,et al.  Morphologic edge detection , 1987, IEEE J. Robotics Autom..

[19]  T. Hald,et al.  Are doctors able to assess prostatic size? , 1978, Scandinavian journal of urology and nephrology.

[20]  H. Wijkstra,et al.  Automated prostate volume determination , 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[21]  James J. Clark.  Authenticating Edges Produced by Zero-Crossing Algorithms , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  John F. Haddon,et al.  Image Segmentation by Unifying Region and Boundary Information , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  R G Aarnink,et al.  Analysis of ultrasonographic prostate images for the detection of prostatic carcinoma: the automated urologic diagnostic expert system. , 1994, Ultrasound in medicine & biology.

[24]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[25]  H. Holm,et al.  Transrectal ultrasonic volume determination of the prostate--a preoperative and postoperative study. , 1982, The Journal of urology.

[26]  A. Hendrikx,et al.  Ultrasonic determination of prostatic volume: a cadaver study. , 1989, Urology.

[27]  D. Neal,et al.  Reproducibility of measurement of prostatic volume by ultrasound. Comparison of transrectal and transabdominal methods. , 1988, European urology.

[28]  Tomaso A. Poggio,et al.  On Edge Detection , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.