Ω-Net (Omega-Net): Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks

no code implementations • 3 Nov 2017 • Davis M. Vigneault, Weidi Xie, Carolyn Y. Ho, David A. Bluemke, J. Alison Noble

Pixelwise segmentation of the left ventricular (LV) myocardium and the four cardiac chambers in 2-D steady state free precession (SSFP) cine sequences is an essential preprocessing step for a wide range of analyses.

Image Segmentation Segmentation +1

Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization

no code implementations • 12 Apr 2017 • Davis M. Vigneault, Weidi Xie, David A. Bluemke, J. Alison Noble

Feature tracking Cardiac Magnetic Resonance (CMR) has recently emerged as an area of interest for quantification of regional cardiac function from balanced, steady state free precession (SSFP) cine sequences.