Deep Learning from Dual-Energy Information for Whole-Heart Segmentation in Dual-Energy and Single-Energy Non-Contrast-Enhanced Cardiac CT

no code implementations • 10 Aug 2020 • Steffen Bruns, Jelmer M. Wolterink, Richard A. P. Takx, Robbert W. van Hamersvelt, Dominika Suchá, Max A. Viergever, Tim Leiner, Ivana Išgum

Deep learning-based whole-heart segmentation in coronary CT angiography (CCTA) allows the extraction of quantitative imaging measures for cardiovascular risk prediction.

Heart Segmentation Segmentation

Improving Myocardium Segmentation in Cardiac CT Angiography using Spectral Information

no code implementations • 27 Sep 2018 • Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Išgum

We propose augmentation of the training data with virtual mono-energetic reconstructions from a spectral CT scanner which show different attenuation levels of the contrast agent.

Data Augmentation Myocardium Segmentation +1