Automatic Centerline detection for Aortic Pulse Wave Velocity Quantification: A Feasibility Study

A prospective approach involving application of multiatlas based segmentation to segment the aorta, followed by centerline extraction to compute its length. The goal is to study the effect of a combination of registrationderived transformations applied to sagittal images of the aorta, when combined with different label fusion techniques, to...

Supporting the Tennis Coach: Automatically Analyzing and Evaluating Tennis Footage

Video support is becoming an indispensable tool in tennis practice sessions, especially at the professional level. Cameras are used to record a player and the current available software is used optimize the player's tennis technique, i.e. the biomechanics. Unfortunately, the tactical side of tennis is underexposed in terms of available software....

Low Complexity Feature Point Detection and Tracking using CUDA

High speed feature point detection and tracking is very demanding for many realtime computer vision applications. In existing work, the commonly used feature point detection algorithms like Harris and KLT (Kanade-Lucas-Tomasi) and feature tracking algorithm (Pyramidal-KLT) were redesigned to increase the performance by reducing the algorithmic...

Database guided detection of anatomical landmark points in 3D images of the heart

Automated landmark detection may prove important for the examination and automatic analysis of real-time three-dimensional (3D) echocardiograms. By detecting 3D anatomical landmark points, the standard anatomical views can be extracted automatically in 3D ultrasound images of left ventricle, for better standardization and objective diagnosis....