A deep learning method for translating 3DCT to SPECT ventilation imaging: First comparison with (81m)Kr‐gas SPECT ventilation imaging

PURPOSE: This study aimed to evaluate the accuracy of deep learning (DL)‐based computed tomography (CT) ventilation imaging (CTVI). METHODS: A total of 71 cases that underwent single‐photon emission CT (81m)Kr‐gas ventilation (SPECT V) and CT imaging were included. Sixty cases were assigned to the t...

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Detalles Bibliográficos
Autores principales: Kajikawa, Tomohiro, Kadoya, Noriyuki, Maehara, Yosuke, Miura, Hiroshi, Katsuta, Yoshiyuki, Nagasawa, Shinsuke, Suzuki, Gen, Yamazaki, Hideya, Tamaki, Nagara, Yamada, Kei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
THERAPEUTIC INTERVENTIONS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545310/
https://www.ncbi.nlm.nih.gov/pubmed/35510535
http://dx.doi.org/10.1002/mp.15697

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545310/
https://www.ncbi.nlm.nih.gov/pubmed/35510535
http://dx.doi.org/10.1002/mp.15697

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