A densely interconnected network for deep learning accelerated MRI

Objective To improve accelerated MRI reconstruction through a densely connected cascading deep learning reconstruction framework. Materials and methods A cascading deep learning reconstruction framework (reference model) was modified by applying three architectural modifications: input-level dense c...

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Bibliographic Details
Published in:	Magma (New York, N.Y.) Vol. 36; no. 1; pp. 65 - 77
Main Authors:	Ottesen, Jon André, Caan, Matthan W. A., Groote, Inge Rasmus, Bjørnerud, Atle
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.02.2023
Subjects:	Acceleration Basic Science - Reconstruction algorithms and artificial intelligence Biomedical Engineering and Bioengineering Computer Appl. in Life Sciences Deep Learning Health Informatics Imaging Magnetic Resonance Imaging Medicine Medicine & Public Health Radiology Research Article Signal-To-Noise Ratio Solid State Physics Deep learning MRI Image reconstruction
ISSN:	1352-8661, 0968-5243, 1352-8661
Online Access:	Get full text
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