Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural network

We have developed a deep learning-based approach to improve image quality of single-shot turbo spin-echo (SSTSE) images of female pelvis. We aimed to compare the deep learning-based single-shot turbo spin-echo (DL-SSTSE) images of female pelvis with turbo spin-echo (TSE) and conventional SSTSE image...

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Detalles Bibliográficos
Autores principales: Misaka, Tomofumi, Asato, Nobuyuki, Ono, Yukihiko, Ota, Yukino, Kobayashi, Takuma, Umehara, Kensuke, Ota, Junko, Uemura, Masanobu, Ashikaga, Ryuichiro, Ishida, Takayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
6800
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676607/
https://www.ncbi.nlm.nih.gov/pubmed/33217817
http://dx.doi.org/10.1097/MD.0000000000023138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676607/
https://www.ncbi.nlm.nih.gov/pubmed/33217817
http://dx.doi.org/10.1097/MD.0000000000023138

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