Abstract
This paper presents a methodology for tracking a hypo- or hyper-enhanced focal liver lesion (FLL) and a healthy liver region in a video sequence of a Contrast-Enhanced Ultrasound (CEUS) examination. The outcome allows the differentiation between benign and malignant cases, by characterising FLLs of typical behaviour, according to their Time-Intensity curves. The task is challenging mainly due to intensity changes caused by contrast agents. Initially the ultrasound mask is automatically localised and then the FLL and parenchyma regions are tracked, assuming affine transformations on the image plane, employing the point-based registration technique of Lowe’s scale-invariant feature transform (SIFT) keypoints detector. Finally, a quantitative evaluation of the tracking process provides a confidence measure for the characterisation decision.
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
BritishLiverTrust: Website, http://www.britishlivertrust.org.uk/home/looking-after-your-liver.aspx (last accessed December 09, 2011)
Sirli, R., Sporea, I., Martie, A., Popescu, A., Danila, M.: Contrast enhanced ultrasound in focal liver lesions–a cost efficiency study. Medical Ultrasonography 12, 280–285 (2010)
Wilson, S.R., Burns, P.N.: Microbubble-enhanced us in body imaging: What role? Radiology 257, 24–39 (2010)
Strobel, D., Seitz, K., Blank, W., Schuler, A., Dietrich, C.F., von Herbay, A., Friedrich-Rust, M., Bernatik, T.: Tumor-specific vascularization pattern of liver metastasis, hepatocellular carcinoma, hemangioma and focal nodular hyperplasia in the differential diagnosis of 1349 liver lesions in contrast-enhanced ultrasound (ceus). Ultrachall. in Med. 30(4), 376–382 (2009)
Albrecht, T., Blomley, M., Bolondi, L., Claudon, M., Correas, J.M., Cosgrove, D., Greiner, L., Jager, K., de Jong, N., Leen, E., Lencioni, R., Lindsell, D., Martegani, A., Solbiati, L., Thorelius, L., Tranquart, F., Weskott, H.P., Whittingham, T.: Guidelines for the use of contrast agents in ultrasound - January 2004. Ultrachall. in Med. 25, 249–256 (2004)
Goertz, R.S., Bernatik, T., Strobel, D., Hahn, E.G., Haendl, T.: Software-based quantification of contrast-enhanced ultrasound in focal liver lesions - a feasibility study. European Journal of Radiology 75, 22–26 (2010)
Rognin, N.G., Mercier, L., Frinking, P., Arditi, M., Perrenoud, G., Anaye, A., Meuwly, J.Y.: Parametric imaging of dynamic vascular patterns of focal liver lesions in contrast-enhanced ultrasound. In: IEEE International Ultrasonics Symposium, IUS, pp. 1282–1285 (2009)
Noble, J.A.: Ultrasound image segmentation and tissue characterisation. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 224, 307–316 (2010)
Shiraishi, J., Sugimoto, K., Moriyasu, F., Kamiyama, N., Doi, K.: Computer-aided diagnosis for the classification of focal liver lesions by use of contrast-enhanced ultrasonography. Medical Physics 35, 1734–1746 (2008)
Bakas, S., Chatzimichail, K., Autret, A., Hoppe, A., Galariotis, V., Makris, D.: Localisation and charasterisation of focal liver lesions using contrast-enhanced ultrasonoghaphic visual cues. In: Proceedings of Medical Image Understanding and Analysis (2011)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60, 91–110 (2004)
Gower, J.: Generalized procrustes analysis. Psychometrika 40, 33–51 (1975)
Penrose, R.: A generalized inverse for matrices. Mathematical Proceedings of the Cambridge Philosophical Society 51, 406–413 (1955)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bakas, S., Hoppe, A., Chatzimichail, K., Galariotis, V., Hunter, G., Makris, D. (2012). Focal Liver Lesion Tracking in CEUS for Characterisation Based on Dynamic Behaviour. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7431. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33179-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-33179-4_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33178-7
Online ISBN: 978-3-642-33179-4
eBook Packages: Computer ScienceComputer Science (R0)