Machine learning-based prediction of conversion coefficients for I-123 metaiodobenzylguanidine heart-to-mediastinum ratio

PURPOSE: We developed a method of standardizing the heart-to-mediastinal ratio in (123)I-labeled meta-iodobenzylguanidine (MIBG) images using a conversion coefficient derived from a dedicated phantom. This study aimed to create a machine-learning (ML) model to estimate conversion coefficients withou...

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Detalles Bibliográficos
Autores principales: Okuda, Koichi, Nakajima, Kenichi, Kitamura, Chiemi, Ljungberg, Michael, Hosoya, Tetsuo, Kirihara, Yumiko, Hashimoto, Mitsumasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372132/
https://www.ncbi.nlm.nih.gov/pubmed/36740650
http://dx.doi.org/10.1007/s12350-023-03198-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372132/
https://www.ncbi.nlm.nih.gov/pubmed/36740650
http://dx.doi.org/10.1007/s12350-023-03198-3

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