Tracking medical 3D data with a parametric deformable model
Bardinet, Eric; Cohen, Laurent D.; Ayache, Nicholas (1995), Tracking medical 3D data with a parametric deformable model, International Symposium on Computer Vision, 1995. Proceedings, IEEE : Piscataway, NJ. 10.1109/ISCV.1995.477018
TypeCommunication / Conférence
Conference titleInternational Symposium on Computer Vision, 1995
Conference cityCoral Gables, FL
Conference countryUnited States
Book titleInternational Symposium on Computer Vision, 1995. Proceedings
MetadataShow full item record
Abstract (EN)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.
Subjects / Keywordsimage sequences; medical image processing; motion estimation
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