Tracking medical 3D data with a parametric deformable model
Open Access
- 19 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 299-304
- https://doi.org/10.1109/iscv.1995.477018
Abstract
This paper describes a method to fit and track surfaces. We suppose that we have already extracted from a 3D image some data defined by a set of points. The fitting step makes use of a superquadric model and solves an inverse problem for free-form deformations. This is then used for tracking surfaces in a time sequence of 3D images. We present different approaches to track surfaces in a sequence of 3D images. From the tracking, we deduce an estimation of motion and visualize a velocity map. This method is applied to 2 sequences of different kinds of medical images to track the cardiac left ventricle.Keywords
This publication has 8 references indexed in Scilit:
- Dense non-rigid motion estimation in sequences of 3D images using differential constraintsPublished by Springer Nature ,2005
- Shape-based 4D left ventricular myocardial function analysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Hybrid Hyperquadric Model for 2-D and 3-D Data FittingComputer Vision and Image Understanding, 1996
- Superquadrics and Free-Form Deformations: A Global Model to Fit and Track 3D Medical DataPublished by Springer Nature ,1995
- A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to cardiac 4D image analysisComputerized Medical Imaging and Graphics, 1995
- Deformable models with parameter functions: application to heart-wall modelingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Finite-element methods for active contour models and balloons for 2-D and 3-D imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Symmetry-seeking models and 3D object reconstructionInternational Journal of Computer Vision, 1988