AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning

AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning

In cardiac cine imaging, acquiring high-quality data is challenging and time-consuming due to the artifacts generated by the heart’s continuous movement. Volumetric, fully isotropic data acquisition with high temporal resolution is, to date, intractable due to MR physics constraints. To assess whole...

Full description

Bibliographic Details
Main Authors: Christian Weihsbach, Nora Vogt, Ziad Al-Haj Hemidi, Alexander Bigalke, Lasse Hansen, Julien Oster, Mattias P. Heinrich
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Sensors
Subjects:
cardiac magnetic resonance imaging
shape reconstruction
view optimization
deep learning
Online Access:https://www.mdpi.com/1424-8220/24/7/2296

Internet

https://www.mdpi.com/1424-8220/24/7/2296

Similar Items