Optimized deep learning-accelerated single-breath-hold abdominal HASTE with and without fat saturation improves and accelerates abdominal imaging at 3 Tesla

Abstract Background Deep learning-accelerated single-shot turbo-spin-echo techniques (DL-HASTE) enable single-breath-hold T2-weighted abdominal imaging. However, studies evaluating the image quality of DL-HASTE with and without fat saturation (FS) remain limited. This study aimed to prospectively ev...

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Detalhes bibliográficos

Principais autores:	Qinxuan Tan, Felix Kubicka, Dominik Nickel, Elisabeth Weiland, Bernd Hamm, Dominik Geisel, Moritz Wagner, Thula C. Walter-Rittel
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-09-01
coleção:	BMC Medical Imaging
Assuntos:	Deep learning Artificial intelligence Magnetic resonance imaging Abdomen
Acesso em linha:	https://doi.org/10.1186/s12880-025-01838-3
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