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Accelerated cardiac T1 mapping with recurrent networks and cyclic, model-based loss.

Johnathan V Le1,2, Jason K Mendes1, Nicholas McKibben1

  • 1Utah Center for Advanced Imaging Research (UCAIR), Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah, USA.

Medical Physics
|June 15, 2022
PubMed
Summary

This study developed a deep learning method to speed up cardiac T1 mapping using neural networks. The new method accelerates modified Look-Locker inversion (MOLLI) sequences from 11 to 3 heartbeats, maintaining diagnostic accuracy.

Keywords:
MRIT1 mappingcardiacdeep learningquantitative imaging

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