Improved Quantitative Parameter Estimation for Prostate T2 Relaxometry using Convolutional Neural Networks

This work seeks to evaluate multiple methods for quantitative parameter estimation from standard T(2) mapping acquisitions in the prostate. The T(2) estimation performance of methods based on neural networks (NN) was quantitatively compared to that of conventional curve fitting techniques. Large phy...

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Detalles Bibliográficos
Autores principales: Bolan, Patrick J., Saunders, Sara L., Kay, Kendrick, Gross, Mitchell, Akcakaya, Mehmet, Metzger, Gregory J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882442/
https://www.ncbi.nlm.nih.gov/pubmed/36711813
http://dx.doi.org/10.1101/2023.01.11.23284194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882442/
https://www.ncbi.nlm.nih.gov/pubmed/36711813
http://dx.doi.org/10.1101/2023.01.11.23284194

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