Abstract
We introduce an approach for 3D segmentation and quantification of vessels. The approach is based on a new 3D cylindrical parametric intensity model, which is directly fit to the image intensities through an incremental process based on a Kalman filter. The model has been successfully applied to segment vessels from 3D MRA images. Our experiments show that the model yields superior results in estimating the vessel radius compared to approaches based on a Gaussian model. Also, we point out general limitations in estimating the radius of thin vessels.
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
Abramowitz, M., Stegun, I.: Pocketbook of Mathematical Functions, Verlag Harri Deutsch (1984)
Bullitt, E., Aylward, S., Smith, K., Mukherji, S., Jiroutek, M., Muller, K.: Symbolic Description of Intracerebral Vessels Segmented from MRA and Evaluation by Comparison with X-Ray Angiograms. Medical Image Analysis 5, 157–169 (2001)
Frangi, F., Niessen, W.J., Hoogeveen, R.M., et al.: Model-Based Quantitation of 3D Magnetic Resonance Angiographic Images. T-MI 18(10), 946–956 (1999)
Gering, D.T., Nabavi, A., Kikinis, R., et al.: An integrated Visualization System for Surgical Planning and Guidance using Image Fusion and Interventional Imaging. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 808–819. Springer, Heidelberg (1999)
Gong, R.H., Wörz, S., Rohr, K.: Segmentation of Coronary Arteries of the Human Heart from 3D Medical Images. In: Proc. BVM 2003, pp. 66–70 (2003)
Koller, T.M., Gerig, G., Székely, G., Dettwiler, D.: Multiscale Detection of Curvilinear Structures in 2D and 3D Image Data. In: Proc. ICCV 1995, pp. 864–869 (1995)
Krissian, K., Malandain, G., Ayache, N., Vaillant, R., Trousset, Y.: Model Based Detection of Tubular Structures in 3D Images. CVIU 80(2), 130–171 (2000)
Noordmans, H.J., Smeulders, A.W.M.: High accuracy tracking of 2D/3D curved line structures by consecutive cross-section matching. Pattern Recogn. Letters 19(1), 97–111 (1998)
Reinhardt, J.M., D’Souza, N.D., Hoffman, E.A.: Accurate Measurement of Intrathoracic Airways. IEEE Trans. on Medical Imaging 16(6), 820–827 (1997)
Rueckert, D., Burger, P., Forbat, S.M., Mohiaddin, R.D., Yang, G.Z.: Automatic Tracking of the Aorta in Cardiovascular MR Images Using Deformable Models. IEEE Trans. on Medical Imaging 16(5), 581–590 (1997)
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
Wörz, S., Rohr, K. (2004). 3D Segmentation and Quantification of Human Vessels Based on a New 3D Parametric Intensity Model. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds) Pattern Recognition. DAGM 2004. Lecture Notes in Computer Science, vol 3175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28649-3_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-28649-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22945-2
Online ISBN: 978-3-540-28649-3
eBook Packages: Springer Book Archive