Accelerating FLAIR imaging via deep learning reconstruction: potential for evaluating white matter hyperintensities

To evaluate deep learning-reconstructed (DLR)-fluid-attenuated inversion recovery (FLAIR) images generated from undersampled data, compare them with fully sampled and rapidly acquired FLAIR images, and assess their potential for white matter hyperintensity evaluation. We examined 30 patients with wh...

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Veröffentlicht in:	Japanese journal of radiology 2024-09
Hauptverfasser:	Nishioka, Noriko, Shimizu, Yukie, Kaneko, Yukio, Shirai, Toru, Suzuki, Atsuro, Amemiya, Tomoki, Ochi, Hisaaki, Bito, Yoshitaka, Takizawa, Masahiro, Ikebe, Yohei, Kameda, Hiroyuki, Harada, Taisuke, Fujima, Noriyuki, Kudo, Kohsuke
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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