|
A. Pujol, Felipe Lumbreras, Javier Varona, & Juan J. Villanueva. (1999). Template matching through invariant eigenspace projection..
|
|
|
Josep Llados, Felipe Lumbreras, & Javier Varona. (1999). A multidocument platform for automatic reading of identity cards..
|
|
|
Javier Varona, A. Pujol, & Juan J. Villanueva. (1999). Visual tracking in application domains..
|
|
|
David Lloret, & Derek L.G. Hill. (1999). System for live fusion of 2-D ultrasound scans to pre-interventional MR volumes of a patient..
|
|
|
J.M. Sanchez, & X. Binefa. (1999). Automatic digital TV commercial recognition..
|
|
|
Antonio Lopez, W. Niessen, Joan Serrat, K. Nicolay, Bart M. Ter Haar Romeny, Juan J. Villanueva, et al. (1999). New improvements in the multiscale analysis of trabecular bone patterns..
|
|
|
Felipe Lumbreras, Ramon Baldrich, Maria Vanrell, Joan Serrat, & Juan J. Villanueva. (1999). Multiresolution colour texture representations for tile classification.
|
|
|
Daniel Ponsa, A.F. Sole, Antonio Lopez, Cristina Cañero, Petia Radeva, & Jordi Vitria. (1999). Regularized EM.
|
|
|
David Guillamet, & Jordi Vitria. (1999). Using Eigenspace analysis of color distributions for object recognition.
|
|
|
A.F. Sole, Antonio Lopez, Cristina Cañero, Petia Radeva, & J. Saludes. (1999). Crease enhancement diffusion.
|
|
|
Xavier Roca, Jordi Vitria, Maria Vanrell, & Juan J. Villanueva. (1999). Visual behaviours for binocular navigation with autonomous systems..
|
|
|
Daniel Ponsa, & Jordi Vitria. (1999). Mobile monitoring system using an agent-oriented approach.
|
|
|
A. Auge, Javier Varona, & Juan J. Villanueva. (1997). Tumour Segmentation in Mammographies with Neural Networks. Application to Tumoural Volume Approximation. Proceedings of the VII NSPRIA, Vol. II, CVC–UAB, .
|
|
|
Javier Varona, & Juan J. Villanueva. (1997). Neural Networks for Early Vision..
|
|
|
Sandra Pujades, Francesc Carreras, Manuel Ballester, Jaume Garcia, & Debora Gil. (2008). A Normalized Parametric Domain for the Analysis of the Left Ventricular Function. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISAPP’08) (Vol. 1, pp. 267–274).
Abstract: Impairment of left ventricular (LV) contractility due to cardiovascular diseases is reflected in LV motion patterns. The mechanics of any muscle strongly depends on the spatial orientation of its muscular fibers since the motion that the muscle undergoes mainly takes place along the fiber. The helical ventricular myocardial band (HVMB) concept describes the myocardial muscle as a unique muscular band that twists in space in a non homogeneous fashion. The 3D anisotropy of the ventricular band fibers suggests a regional analysis of the heart motion. Computation of normality models of such motion can help in the detection and localization of any cardiac disorder. In this paper we introduce, for the first time, a normalized parametric domain that allows comparison of the left ventricle motion across patients. We address, both, extraction of the LV motion from Tagged Magnetic Resonance images, as well as, defining a mapping of the LV to a common normalized domain. Extraction of normality motion patterns from 17 healthy volunteers shows the clinical potential of our LV parametrization.
Keywords: Helical Ventricular Myocardial Band; Myocardial Fiber; Tagged Magnetic Resonance; HARP; Optical Flow Variational Framework; Gabor Filters; B-Splines.
|
|