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ElastoNet: Neural network-based multicomponent MR elastography wave inversion with uncertainty quantification

delete2025-06-01
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PRE
AI
H
Héloïse Bustin
T
Tom Meyer
R
Rolf Reiter
J
Jakob Jordan
L
Lars Walczak
H
Heiko Tzschätzsch
I
Ingolf Sack
A
Anja Hennemuth
DOI:10.1016/j.media.2025.103642delete
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Abstract

Abstract

En 中文
• ElastoNet is a multicomponent neural network-based MRE inversion method. • Applicable independently of acquisition resolution and excitation frequency. • The epistemic uncertainty is quantified using evidential deep learning. • Performance analysis on wideband multifrequency in vivo MRE data of the abdomen.
Keywords:
Neural network
Magnetic resonance elastography
Inversion
Uncertainty quantification

Journal

Medical Image Analysis cover
Medical Image Analysis
IF:
11.8
Papers:
3.8K
Citations:
2.4W

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No organization information available