Dynamic MRI interpolation in temporal direction using an unsupervised generative model
Cardiac cine magnetic resonance imaging (MRI) is an important tool in assessing dynamic heart function. However, this technique requires long acquisition time and long breath holds, which presents difficulties. The aim of this study is to propose an unsupervised neural network framework that can per...
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Published in | Computerized medical imaging and graphics Vol. 117; p. 102435 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Ltd
01.10.2024
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Subjects | |
Online Access | Get full text |
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