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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...
Autores principales: | Shi, Luyao, Lu, Yihuan, Dvornek, Nicha, Weyman, Christopher A., Miller, Edward J., Sinusas, Albert J., Liu, Chi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
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 |
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