Super-resolution deep learning reconstruction at coronary computed tomography angiography to evaluate the coronary arteries and in-stent lumen: an initial experience

A super-resolution deep learning reconstruction (SR-DLR) algorithm trained using data acquired on the ultrahigh spatial resolution computed tomography (UHRCT) has the potential to provide better image quality of coronary arteries on the whole-heart, single-rotation cardiac coverage on a 320-detector...

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Detalles Bibliográficos
Autores principales: Orii, Makoto, Sone, Misato, Osaki, Takeshi, Ueyama, Yuta, Chiba, Takuya, Sasaki, Tadashi, Yoshioka, Kunihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617195/
https://www.ncbi.nlm.nih.gov/pubmed/37904089
http://dx.doi.org/10.1186/s12880-023-01139-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617195/
https://www.ncbi.nlm.nih.gov/pubmed/37904089
http://dx.doi.org/10.1186/s12880-023-01139-7

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