Effect of Deep Learning Reconstruction on Respiratory-triggered T2-weighted MR Imaging of the Liver: A Comparison between the Single-shot Fast Spin-echo and Fast Spin-echo Sequences

Purpose: To compare the effects of deep learning reconstruction (DLR) on respiratory-triggered T2-weighted MRI of the liver between single-shot fast spin-echo (SSFSE) and fast spin-echo (FSE) sequences.Methods: Respiratory-triggered fat-suppressed liver T2-weighted MRI was obtained with the FSE and...

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Veröffentlicht in:	Magnetic Resonance in Medical Sciences 2024, Vol.23(2), pp.214-224
Hauptverfasser:	Kiso, Kengo, Tsuboyama, Takahiro, Onishi, Hiromitsu, Ogawa, Kazuya, Nakamoto, Atsushi, Tatsumi, Mitsuaki, Ota, Takashi, Fukui, Hideyuki, Yano, Keigo, Honda, Toru, Kakemoto, Shinji, Koyama, Yoshihiro, Tarewaki, Hiroyuki, Tomiyama, Noriyuki
Format:	Artikel
Sprache:	eng
Schlagworte:	Conspicuity Deep Learning Humans Image contrast Image processing Image quality Image reconstruction Lesions Liver Liver Neoplasms - pathology Magnetic resonance imaging Magnetic Resonance Imaging - methods Major Paper Medical imaging Noise reduction Qualitative analysis Quality control Spatial discrimination Spatial resolution spin echo imaging Variance analysis
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