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Ultrafast Whole-Body MR Angiography with Two-dimensional Parallel Imaging at 3.0 T: Feasibility Study

机译:超快全身体MR血管造影,在3.0 T处进行二维平行成像:可行性研究

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The study was approved by the local ethics committee, and informed consent was provided by all participants prior to the examination. The aim of the study was to assess the feasibility of whole-body three-dimensional (3D) contrast material–enhanced magnetic resonance (MR) angiography with parallel imaging in the phase- and section-encoding directions (ie, integrated parallel acquisition technique [iPAT2; Siemens, Erlangen, Germany]) for all anatomic imaging stations in combination with a single injection of contrast material. Whole-body contrast-enhanced MR angiography was performed in 23 patients at 3.0 T. Images were evaluated by two independent observers for quality on a four-point scale (where a score of 1 indicated poor image quality and a score of 4, excellent image quality); signal-to-noise ratios (SNRs) and contrast-to-noise ratios (CNRs) were calculated for representative vessel regions in each station. Mean image quality scores were 3.13 ± 1.15 (standard deviation) and 3.17 ± 1.14 for observers 1 and 2, respectively (κ = 0.81). Signal intensity measurements revealed mean SNR values between 36.2 ± 8.0 and 56.2 ± 17.7 and mean CNR values between 29.0 ± 7.4 and 48.2 ± 15.7. The data suggest that contrast-enhanced MR angiography with iPAT2 is feasible for whole-body applications and allows acquisition of 3D data sets with adequate spatial resolution within short measurement times, facilitating a single injection of contrast material. © RSNA, 2008
机译:该研究得到当地伦理委员会的批准,并且所有受试者在检查前均已获得知情同意。这项研究的目的是评估在相位和截面编码方向上进行平行成像的全身三维(3D)造影剂增强磁共振(MR)血管造影的可行性(即,集成的并行采集技术[ iPAT 2 ;西门子,德国埃尔兰根])用于所有解剖学成像站,并单次注入造影剂。在3.0 T下对23例患者进行了全身对比增强MR血管造影。由两名独立观察员以四点量表评估图像的质量(其中1分表示较差的图像质量,4分表示较差的图像质量)质量);计算每个站中代表性血管区域的信噪比(SNR)和对比噪声比(CNR)。观察者1和2的平均图像质量得分分别为3.13±1.15(标准偏差)和3.17±1.14(κ= 0.81)。信号强度测量显示,平均SNR值在36.2±8.0和56.2±17.7之间,平均CNR值在29.0±7.4和48.2±15.7之间。数据表明,使用iPAT 2 增强对比的MR血管造影对于全身应用是可行的,并允许在较短的测量时间内获取具有足够空间分辨率的3D数据集,从而有利于一次性注入对比材料。 ©RSNA,2008年

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