2.5D Thermometry Maps for MRI-guided Tumor Ablation

1 code implementation • 12 Aug 2021 • Julian Alpers, Daniel L. Reimert, Maximilian Rötzer, Thomas Gerlach, Marcel Gutberlet, Frank Wacker, Bennet Hensen, Christian Hansen

For reconstruction, we use a weighted interpolation on a cylindric coordinate representation to calculate the heat value of voxels in a region of interest.

$ν$-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters

no code implementations • 14 Jun 2017 • Hinrich B Winther, Christian Hundt, Bertil Schmidt, Christoph Czerner, Johann Bauersachs, Frank Wacker, Jens Vogel-Claussen

Conclusions: Biventricular mass and function parameters can be determined reliably in high quality by applying a deep neural network for cardiac MRI segmentation, especially in the anatomically complex right ventricle.

MRI segmentation Semantic Segmentation