A framework for spatiotemporal control in the tracking of visual contours
International Journal of Computer Vision
The NURBS book
Learning to track the visual motion of contours
Artificial Intelligence - Special volume on computer vision
Global and local deformations of solid primitives
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Computer Graphics with OpenGL
Automated intraventricular septum segmentation using non-local spatio-temporal priors
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Hi-index | 0.00 |
Abstract: Interventricular septum thickness in end-diastole (IVSd) is one of the key parameters in cardiology. This paper presents a fast algorithm, suitable for pocket-sized ultrasound devices, for measurement of IVSd using 2D B-mode parasternal long axis images. The algorithm is based on a deformable model of the septum and the mitral valve. The model shape is estimated using an extended Kalman filter. A feasibility study using 32 unselected recordings is presented. The recordings originate from a database consisting of subjects from a normal healthy population. Five patients with suspected hypertrophy were included in the study. Reference B-mode measurements were made by two cardiologists. A paired t-test revealed a non-significant mean difference, compared to the B-mode reference, of (mean+/-SD) 0.14+/-1.36mm (p=0.532). Pearson's correlation coefficient was 0.79 (p