Rapid Reconstruction of Four-dimensional MR Angiography of the Thoracic Aorta Using a Convolutional Neural Network.
Hassan Haji-ValizadehDaming ShenRyan J AveryAli M SerhalFlorian A SchiffersAggelos K KatsaggelosOliver S CossairtDaniel KimPublished in: Radiology. Cardiothoracic imaging (2020)
The proposed integrated reconstruction pipeline including a CNN architecture is capable of rapidly reconstructing time-resolved volumetric cardiovascular MRI k-space data, without a significant loss in data quality, thereby supporting clinical translation of said non-contrast-enhanced MR angiograms. Supplemental material is available for this article. © RSNA, 2020.
Keyphrases
- contrast enhanced
- convolutional neural network
- computed tomography
- diffusion weighted
- magnetic resonance imaging
- magnetic resonance
- deep learning
- diffusion weighted imaging
- electronic health record
- big data
- optical coherence tomography
- aortic valve
- spinal cord
- pulmonary artery
- artificial intelligence
- spinal cord injury
- machine learning
- quantum dots
- sensitive detection