Application of deep learning techniques for breath-hold, high-precision T2-weighted magnetic resonance imaging of the abdomen.

Purpose: To evaluate the feasibility of a high-precision single-shot fast spin–echo (SS-FSE) sequence using the deep learning-based Precise IQ Engine (PIQE) algorithm in comparison with standard SS-FSE for T2-weighted MR imaging of the abdomen, and to compare the image quality with a multi-shot (MS)...

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Publicado en:	Abdominal Radiology Vol. 50; no. 5; pp. 2312 - 2321
Autores principales:	Tanabe, Masahiro, Kawano, Yosuke, Ihara, Kenichiro, Miyoshi, Keisuke, Ishii, Jo, Nomura, Kanako, Morooka, Ryoko, Higashi, Mayumi, Ito, Katsuyoshi
Formato:	Journal Article
Publicado:	Springer Nature May2025
Acceso en línea:	Ver este registro en EBSCOhost