Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning

Patient motion during dynamic PET imaging can induce errors in myocardial blood flow (MBF) estimation. Motion correction for dynamic cardiac PET is challenging because the rapid tracer kinetics of 82Rb leads to substantial tracer distribution change across different dynamic frames over time, which c...

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Detalles Bibliográficos
Autores principales: Shi, Luyao, Lu, Yihuan, Dvornek, Nicha, Weyman, Christopher A., Miller, Edward J., Sinusas, Albert J., Liu, Chi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670362/
https://www.ncbi.nlm.nih.gov/pubmed/34018932
http://dx.doi.org/10.1109/TMI.2021.3082578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670362/
https://www.ncbi.nlm.nih.gov/pubmed/34018932
http://dx.doi.org/10.1109/TMI.2021.3082578

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