Accelerated cardiac T(1) mapping in four heartbeats with inline MyoMapNet: a deep learning-based T(1) estimation approach

PURPOSE: To develop and evaluate MyoMapNet, a rapid myocardial T(1) mapping approach that uses fully connected neural networks (FCNN) to estimate T(1) values from four T(1)-weighted images collected after a single inversion pulse in four heartbeats (Look-Locker, LL4). METHOD: We implemented an FCNN...

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Detalles Bibliográficos
Autores principales: Guo, Rui, El-Rewaidy, Hossam, Assana, Salah, Cai, Xiaoying, Amyar, Amine, Chow, Kelvin, Bi, Xiaoming, Yankama, Tuyen, Cirillo, Julia, Pierce, Patrick, Goddu, Beth, Ngo, Long, Nezafat, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734349/
https://www.ncbi.nlm.nih.gov/pubmed/34986850
http://dx.doi.org/10.1186/s12968-021-00834-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734349/
https://www.ncbi.nlm.nih.gov/pubmed/34986850
http://dx.doi.org/10.1186/s12968-021-00834-0

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