Abstract
In this paper, we present a novel adaptive method for ultrasound (US) image enhancement. It is based on a new measure of perceptual saliency and the view-dependent feature on US images. By computing this measure on an US image, speckle noise is reduced and perceptual salient boundaries of organs are enhanced. Because of the curvature gradient based saliency measure, this method can enhance more types of salient structures than the well-known saliency network method. Meanwhile, the proposed method does not depend on the closure measure. This makes it more appropriate to enhance real images than other existing methods. Moreover, the local analysis of speckle patterns leads a good performance in speckle reduction for US images. Experimental results show the proposed enhancement approach can provide a good assistant for US image segmentation and image-guided diagnosis.
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
Wertheimer, M.: Untersuchungen zur lehre der gestalt. Psychologische Forschung 4, 301–350 (1923)
Sha’ashua, A., Ullman, S.: Structural saliency: The detection of globally salient structures using a locally connected network. In: ICCV, pp. 321–327 (1988)
Herault, L., Horaud, R.: Figure-ground discrimination: A combinational optimization approach. IEEE Trans. on PAMI 15 (1993)
Guy, G., Medioni, G.: Inferring global perceptual contours from local features. In: DARPA Image Understanding workshop, pp. 881–892 (1993)
Sharkar, S., Boyer, K.: Quantitative measures of change based on feature organization: Eigenvalues and eigenvectors. In: CVPR, pp. 478–483 (1996)
Mahamud, S., Williams, L.R., Thornber, K.K., Xu, K.: Segmentation of multiple salient closed contours from real images. IEEE Trans. on PAMI 25(4), 433–444 (2003)
Desolneux, A., Moisan, L., Morel, J.M.: A grouping principle and four applications. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(4), 508–513 (2003)
Xie, J., Tsui, H.T., Lau, T.K.: Edge enhancement based on salient structure extration. In: Asian Conference on Computer Vision, pp. 1152–1157 (2004)
Schueler, C.F., Lee, H.L., Wade, G.: Fundamentals of digital ultrasonic imaging. IEEE Trans. Sonics Ultrasound (1984)
Tuthill, T.A., Sperry, R.H., Parker, K.J.: Deviations from rayleigh statistics in ultrasonic speckle. Ultrason. Imaging 10 (1988)
Vilanova, J.S., Sung, K.K.: Multi-scale vectorridge-detection for perceptual organization without edges. MIT A.I. Memo (1992)
Alter, T.D., Basri, R.: Extracting salient curves from images: An analysis of the salient network. Int. Journal of Computer Vision 27(1), 51–69 (1998)
Wang, J.K., Li, X.B.: A system for segmenting ultrasound images. In: ICPR, pp. 456–461 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xie, J., Jiang, Y., Tsui, Ht. (2004). An Adaptive Enhancement Method for Ultrasound Images. In: Yang, GZ., Jiang, TZ. (eds) Medical Imaging and Augmented Reality. MIAR 2004. Lecture Notes in Computer Science, vol 3150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28626-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-540-28626-4_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22877-6
Online ISBN: 978-3-540-28626-4
eBook Packages: Springer Book Archive