Cargando…
Deep learning–based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance
PURPOSE: This work was set out to investigate the feasibility of dose reduction in SPECT myocardial perfusion imaging (MPI) without sacrificing diagnostic accuracy. A deep learning approach was proposed to synthesize full-dose images from the corresponding low-dose images at different dose reduction...
Autores principales: | Aghakhan Olia, Narges, Kamali-Asl, Alireza, Hariri Tabrizi, Sanaz, Geramifar, Parham, Sheikhzadeh, Peyman, Farzanefar, Saeed, Arabi, Hossein, Zaidi, Habib |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940834/ https://www.ncbi.nlm.nih.gov/pubmed/34778929 http://dx.doi.org/10.1007/s00259-021-05614-7 |
Ejemplares similares
-
Non-local mean denoising using multiple PET reconstructions
por: Arabi, Hossein, et al.
Publicado: (2020) -
Temporary at-Rest Myocardial Perfusion Defect: A Possible Case of Takotsubo Syndrome
por: Farzanefar, Saeed, et al.
Publicado: (2018) -
QCard-NM: Developing a semiautomatic segmentation method for quantitative analysis of the right ventricle in non-gated myocardial perfusion SPECT imaging
por: Entezarmahdi, Seyed Mohammad, et al.
Publicado: (2023) -
Fast myocardial perfusion SPECT denoising using an attention-guided generative adversarial network
por: Sun, Jingzhang, et al.
Publicado: (2023) -
Optimization of the Acquisition Time and Injected Dose of
(18)
F-Fluorodeoxyglucose Based on Patient Specifications for High-Sensitive Positron Emission Tomography/Computed Tomography Scanner
por: Al-Fatlawi, Murtadha, et al.
Publicado: (2023)