High-Resolution Single-Shot Fast Spin-Echo MR Imaging with Deep Learning Reconstruction Algorithm Can Improve Repeatability and Reproducibility of Follicle Counting.

Yang, Renjie; Zou, Yujie; Liu, Weiyin Vivian; Liu, Changsheng; Wen, Zhi; Li, Liang; Sun, Chenyu; Hu, Min; Zha, Yunfei

Yang, Renjie; Zou, Yujie; Liu, Weiyin Vivian; Liu, Changsheng; Wen, Zhi; Li, Liang; Sun, Chenyu; Hu, Min; Zha, Yunfei.

Afiliación

Yang R; Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Zou Y; Reproductive Medicine Center, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Liu WV; MR Research, GE Healthcare, Beijing 100080, China.
Liu C; Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Wen Z; Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Li L; Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Sun C; First School of Clinical Medicine of Wuhan University, Wuhan 430060, China.
Hu M; Department of Obstetrics, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Zha Y; Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China.

J Clin Med ; 12(9)2023 Apr 30.

Article en En | MEDLINE | ID: mdl-37176674

Palabras clave

deep learning reconstruction; fast spin-echo; follicle count; follicle number per ovary; polycystic ovary syndrome; single-shot fast spin-echo

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Clin Med Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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