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  • Seow, Pohchoo; Kheok, Si Wei; Png, Meng Ai; Chai, Pik Hsien; Yan, Timothy Song Tian; Tan, Eu Jin; Liauw, Lishya; Law, Yan Mee; Anand, Chidambaram Viswanath; Lee, Weiling; Chen, Robert Chun; Lim, Kheng Choon; Chan, Lai Peng; Mohan, P Chandra

    Academic radiology 31, Številka: 3
    Journal Article

    To evaluate the effect of compressed SENSE (CS) in clinical settings on scan time reduction and image quality. Ninety-five magnetic resonance imaging (MRI) scans from different anatomical regions were acquired, consisting of a standard protocol sequence (SS) and sequence accelerated with CS. Anonymized paired sequences were randomly displayed and rated by six blinded subspecialty radiologists. Side-by-side evaluation on perceived sharpness, perceived signal-to-noise-ratio (SNR), lesion conspicuity, and artifacts were compared and scored on a five-point Likert scale, and individual image quality was evaluated on a four-point Likert scale. CS reduced overall scan time by 32% while maintaining acceptable MRI quality for all regions. The largest time savings were seen in the spine (mean = 68 seconds, 44% reduction) followed by the brain (mean = 86 seconds, 37% reduction). The sequence with maximum time savings was intracranial 3D-time-of-flight magnetic resonance angiography (202 seconds, 56% reduction). CS was mildly inferior to SS on perceived sharpness, perceived SNR, and lesion conspicuity (mean scores = 2.32-2.96, P < .001 1: SS superior; 3: equivalent; 5: CS superior). CS was equivalent to SS for joint and body scans on overall image quality (CS = 3.02-3.37, SS = 3.04-3.68, P > .05, 1: lowest quality and 4: highest quality). The overall image quality of CS was slightly less for brain and spine scans (mean CS = 2.79-3.05, mean SS = 3.13-3.43, P = .021) but still diagnostic. Good overall clinical acceptance for CS (88%) was noted with full clinical acceptance for body scans (100%) and high acceptance for other regions (68%-95%). CS significantly reduced MR acquisition time while maintaining acceptable image quality. The implementation of CS may improve departmental workflows and enhance patient care.