Deep Learning in MR Motion Correction:a Brief Review and a New Motion Simulation Tool (view2Dmotion)
Investigative Magnetic Resonance Imaging
; : 196-206, 2020.
Artigo
em Inglês
| WPRIM (Pacífico Ocidental)
| ID: wpr-898835
Biblioteca responsável:
WPRO
ABSTRACT
With the development of deep-learning techniques, the application of deep learning in MR imaging processing seems to be growing. Accordingly, deep learning has also been introduced in motion correction and seemed to work as well as do conventional motion-compensation methods. In this article, we review the motion-correction methods based on deep learning, focusing especially on the motion-simulation methods adopted. We then propose a new motion-simulation tool, which we call view2Dmotion.
Texto completo:
Disponível
Base de dados:
WPRIM (Pacífico Ocidental)
Idioma:
Inglês
Revista:
Investigative Magnetic Resonance Imaging
Ano de publicação:
2020
Tipo de documento:
Artigo