Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning

PURPOSE: To develop a deep learning-based method to retrospectively quantify T2 from conventional T1- and T2-weighted images. METHODS: Twenty-five subjects were imaged using a multi-echo spin-echo sequence to estimate reference prostate T2 maps. Conventional T1- and T2-weighted images were acquired...

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Detalles Bibliográficos
Autores principales: Sun, Haoran, Wang, Lixia, Daskivich, Timothy, Qiu, Shihan, Han, Fei, D'Agnolo, Alessandro, Saouaf, Rola, Christodoulou, Anthony G., Kim, Hyung, Li, Debiao, Xie, Yibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598780/
https://www.ncbi.nlm.nih.gov/pubmed/37886239
http://dx.doi.org/10.3389/fradi.2023.1223377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598780/
https://www.ncbi.nlm.nih.gov/pubmed/37886239
http://dx.doi.org/10.3389/fradi.2023.1223377

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