Abstract
This paper presents a system for 3D ultrasound which aims to reconstruct a volume of interest from a set of ultrasound images. A Bayesian reconstruction algorithm has been recently proposed to perform this task. However, it is too slow to be useful in practice. This paper describes several techniques to improve the efficiency of the reconstruction procedure based multi-scale principles and based on the expansion of the likelihood function in a Taylor series. This allows the use of sufficient statistics which avoid processing all the images in each iteration and leads to a space-varying recursive filter designed according to the statistical properties of the data. Experimental results are provided to assess the performance of the proposed algorithms in medical diagnosis.
This work was partially supported by FCT in the scope of project POSI/33726/CPS/2000.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Nelson, T., Downey, D., Pretorius, D., Fenster, A.: Three-Dimensional Ultrasound, Lippincott (1999)
Burckhardt, C.: Speckle in Ultrasound B-Mode Scans. IEEE Trans. on Sonics and Ultrsonics SU-25(1), 1–6 (1978)
Dias, J., Leitão, J.: Wall position and thickness estimation from sequences of echocardiograms images. IEEE Transactions on MedicalI maging 15, 25–38 (1996)
Rignot, E., Chelappa, R.: Segmentation of polarimetric sunthetic aperture radar data. IEEE Trans. Image Processing 1(1), 281–300 (1992)
Besag, J.: On the Statistical Analysis of Dirty Pictures. J.R. Statist. Soc. B 48(3), 259–302 (1986)
Prager, R.W., Rohling, R.N., Gee, A.H., Berman, L.: Rapid calibration for 3-D freehand ultrasound. Ultrasound in Medicine and Biology 24(6), 855–869 (1998)
Sanches, J., Marques, J.S.: A Rayleigh reconstruction/interpolation algorithm for 3D ultrasound. Pattern Recognition Letters 21, 917–926 (2000)
Sanches, J., Marques, J.S.: Joint Image Registration and Volume Reconstruction for 3D Ultrasound, Special Issue on 3D Ultrasound, Pattern Recognition Letters (aceite)
Sanches, J., Marques, J.S.: A Multi-Scale Algorithm for three dimensional Free Hand Ultrasound, Ultrasound in medicine and biology, Elsevier (aceite)
Sanches, J., Marques, J.S.: A Fast MAP Algorithm for 3D Ultrasound. In: Proceedings Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, Sophia Antipolis, France, September 2001, pp. 63–74 (2001)
Lim, J.S.: Two-Dimensional Signal and Image Processing, PTR Prentice Hall, Englewood Cliffs, New Jersey
Sanches, J., Marques, J.S.: A MAP Filter for 3D Ultrasound. In: Proceedings IEEE International Conference on Image Processing, Rochester-NY, USA (September 2002) (aceite)
Prager, R.W., Rohling, R.N., Gee, A.H., Berman, L.: Automatic Calibration for 3-D Free-Hand Ultrasound, Cambridge University, CUED/F-INFENG/TR 303 (September 1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sanches, J., Marques, J.S., Pinto, F., Ferreira, P.J. (2003). A 3D Ultrasound System for Medical Diagnosis. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_103
Download citation
DOI: https://doi.org/10.1007/978-3-540-44871-6_103
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40217-6
Online ISBN: 978-3-540-44871-6
eBook Packages: Springer Book Archive