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MR imaging for shoulder diseases: Effect of compressed sensing and deep learning reconstruction on examination time and imaging quality compared with that of parallel imaging

Yuki Obama, Yoshiharu Ohno, Kaori Yamamoto, Masato Ikedo, Masao Yui, Satomu Hanamatsu, Takahiro Ueda, Hirotaka Ikeda, Kazuhiro Murayama, Hiroshi Toyama

2022Magnetic Resonance Imaging20 citationsDOIOpen Access PDF

Topics & Concepts

Image qualityMedicineWilcoxon signed-rank testArtifact (error)Nuclear medicineSignal-to-noise ratio (imaging)Iterative reconstructionContrast-to-noise ratioArtificial intelligenceMann–Whitney U testRadiologyComputer scienceMathematicsImage (mathematics)StatisticsInternal medicineAdvanced MRI Techniques and ApplicationsAtomic and Subatomic Physics ResearchCardiac Imaging and Diagnostics
MR imaging for shoulder diseases: Effect of compressed sensing and deep learning reconstruction on examination time and imaging quality compared with that of parallel imaging | Litcius