Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on norwegian imaging database

no code implementations • 18 Jul 2022 • Martin Soria Røvang, Per Selnes, Bradley John MacIntosh, Inge Rasmus Groote, Lene Paalhaugen, Sudre Carole, Tormod Fladby, Atle Bjørnerud

With the increasing use of 3D FLAIR-weighted images in MRI protocols, our results suggest that WMH segmentation models can be trained on 3D data and yield WMH segmentation performance that is comparable to or better than state-of-the-art without the need for including T1-weighted image series.

Segmentation

A Densely Interconnected Network for Deep Learning Accelerated MRI

no code implementations • 5 Jul 2022 • Jon Andre Ottesen, Matthan W. A. Caan, Inge Rasmus Groote, Atle Bjørnerud

In an ablation study, the individual architectural modifications all contributed to this improvement, by reducing the SSIM and NMSE with approximately 3% and 5% for four-fold acceleration, respectively.

MRI Reconstruction SSIM