Výsledky vyhledávání - "Bieri, Oliver"

Report

An automated pipeline for computation and analysis of functional ventilation and perfusion lung MRI with matrix pencil decomposition: TrueLung

Autor: Pusterla, Orso, Willers, Corin, Sandkühler, Robin, Andermatt, Simon, Nyilas, Sylvia, Cattin, Philippe C., Latzin, Philipp, Bieri, Oliver, Bauman, Grzegorz

Purpose: To introduce and evaluate TrueLung, an automated pipeline for computation and analysis of free-breathing and contrast-agent free pulmonary functional MRI. Material and Methods: time-resolved ultra-fast bSSFP acquisitions are transferred to T

Externí odkaz: http://arxiv.org/abs/2404.18275

Zobrazit plný text záznamu

Report

MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets

Autor: Pusterla, Orso, Heule, Rahel, Santini, Francesco, Weikert, Thomas, Willers, Corin, Andermatt, Simon, Sandkühler, Robin, Nyilas, Sylvia, Latzin, Philipp, Bieri, Oliver, Bauman, Grzegorz

Purpose: To introduce a widely applicable workflow for pulmonary lobe segmentation of MR images using a recurrent neural network (RNN) trained with chest computed tomography (CT) datasets. The feasibility is demonstrated for 2D coronal ultra-fast bal

Externí odkaz: http://arxiv.org/abs/2108.13754

Zobrazit plný text záznamu

Report

Dynamic MR imaging of the skeletal muscle in young and senior volunteers during minimal synchronized neuromuscular electrical stimulation

Autor: Deligianni, Xeni, Klenk, Christopher, Place, Nicolas, Garcia, Meritxell, Pansini, Michele, Hirschmann, Anna, Schmidt-Trucksäss, Arno, Bieri, Oliver, Santini, Francesco

$\textbf{Object}$ Neuromuscular electrical stimulation (NMES)-induced isometric contraction is feasible during MRI and can be combined with acquisition of volumetric dynamic MR data, in a synchronous and controlled way. Since NMES is a potent resourc

Externí odkaz: http://arxiv.org/abs/2003.14084

Zobrazit plný text záznamu

Report

Accelerated Motion-Aware MR Imaging via Motion Prediction from K-Space Center

Autor: Jud, Christoph, Nguyen, Damien, Giger, Alina, Sandkühler, Robin, Krieger, Miriam, Lomax, Tony, Salomir, Rares, Bieri, Oliver, Cattin, Philippe C.

Motion has been a challenge for magnetic resonance (MR) imaging ever since the MR has been invented. Especially in volumetric imaging of thoracic and abdominal organs, motion-awareness is essential for reducing motion artifacts in the final image. A

Externí odkaz: http://arxiv.org/abs/1908.09560

Zobrazit plný text záznamu