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机构地区:[1]United Imaging Research,Shanghai,China
出 处:《iRADIOLOGY》2024年第6期584-593,共10页融合影像学(英文)
摘 要:Background:Brain magnetic resonance imaging(MRI)at 5 T offers un-precedented spatial resolution but is often limited by long scan times.Accel-eration techniques,such as compressed sensing(CS)and artificial intelligence-assisted compressed sensing(ACS),have the potential to speed up the acquisition process while maintaining image quality.This study aims to evaluate and compare the performance of CS and ACS(with various accel-eration factors)in brain MRI imaging at 5 T.Methods:In this study,we enrolled 12 healthy volunteers and compared ACS-accelerated 5 T brain MRI with conventional methods of CS.The ACS acceleration factors for the brain protocol,consisting of 3D T1-weighted se-quences and 2D T2-weighted sequences,were optimized in a pilot study on healthy volunteers(acceleration factor,2.06–3.41 in T2-weighted imaging and 3.52–8.49 in T1-weighted imaging).We evaluated the images acquired from patients using various acceleration methods on the basis of acquisition times,the signal-to-noise ratio(SNR),the contrast-to-noise ratio,subjective image quality,and diagnostic agreement.Results:Our findings revealed that ACS acceleration significantly reduced the acquisition times for T1-and T2-weighted sequences by up to 43%and 53%,respectively,compared with traditional CS at 5 T.Importantly,this accelera-tion was achieved while maintaining excellent image quality,demonstrated by higher or comparable SNR and contrast-to-noise ratio values.Conclusions:The optimal ACS acceleration factors for 5 T brain MRI were determined to be 2.73 for 2D T2-weighted sequences and 6.5 for 3D T1-weighted sequences.ACS not only facilitates rapid imaging but also ensures comparable image quality and diagnostic performance,highlighting its po-tential to revolutionize high-field MRI scanning.
关 键 词:ACCELERATION artificial intelligence BRAIN high-field MRI magnetic resonance imaging
分 类 号:R54[医药卫生—心血管疾病]
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