A Deformable Vessel Model with Single Point Initialization for Segmentation, Quantification and Visualization of Blood Vessels in 3D MRA
Marcela Hernández-Hoyos,Alfred Anwander,Maciej Orkisz,J.P. Roux,Philippe Douek,Isabelle E. Magnin +5 more
- 11 Oct 2000
- Vol. 13, Iss: 9, pp 735-745
TL;DR: The main goal of this work is to develop a fast and reliable method for stenosis quantification by extraction of the vessel axis by an expansible skeleton method and area measurements based on the resulting contours allow the calculation of stenosis parameters.
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Abstract: We deal with image segmentation applied to three-dimensional (3D) analysis of of vascular morphology in magnetic resonance angiography (MRA) images. The main goal of our work is to develop a fast and reliable method for stenosis quantification. The first step towards this purpose is the extraction of the vessel axis by an expansible skeleton method. Vessel boundaries are then detected in the planes locally orthogonal to the centerline using an improved active contour. Finally, area measurements based on the resulting contours allow the calculation of stenosis parameters. The expansible nature of the skeleton associated with a single point initialization of the active contour allows overcoming some limitations of traditional deformable models. As a result, the algorithm performs well even for severe stenosis and significant vessel curvatures. Experimental results are presented in 3D phantom images as well as in real images of patients.
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References
Snakes : Active Contour Models
TL;DR: This work uses snakes for interactive interpretation, in which user-imposed constraint forces guide the snake near features of interest, and uses scale-space continuation to enlarge the capture region surrounding a feature.
Medical Image Computing and Computer-Assisted Intervention – MICCAI’99
Christopher J. Taylor,Alain Colchester +1 more
- 01 Jan 1999
TL;DR: It is shown that the automated method segments brain and tumor with accuracy comparable to the manual method and with improved reproducibility.
609
Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2D and 3D medical images
Cristian Lorenz,I.-C. Carlsen,Thorsten M. Buzug,Carola Fassnacht,Jürgen Weese +4 more
- 19 Mar 1997
TL;DR: A new multi-scale segmentation technique for line-like structures in 2D and 3D medical images is presented, based on normalized first and second derivatives and on the eigenvector analysis of the hessian matrix, which allows for the estimation of the local diameter, the longitudinal direction and the contrast of the vessel.
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