Fadil Ali, Zhaohuan Zhang, Andres Saucedo, Ajin Joy, Vahid Ghodrati, Kim-Lien Nguyen, J Paul Finn, Mark Bydder
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This coil localization method is titled UNfolding Coil Localized Errors from an imperfect slice profile using a Structured Autocalibration Matrix (UNCLE SAM).</p><p><strong>Methods: </strong>Retrospective and prospective evaluations were carried out. Both featured a 2D acquisition and a separate slice-encoded calibration of the center in-plane <math><mi>k</mi></math> -space lines across all desired slice-encoding steps.</p><p><strong>Results: </strong>Retrospective results featured a slice-by-slice comparison of the slice-encoded images with UNCLE SAM. UNCLE SAM's subtraction from the slice-encoded image was compared with a subtraction from the flow-corrupted 2D image, to demonstrate UNCLE SAM's capability to unfold outflowing spins. UNCLE SAM's comparison with slice encoding showed that UNCLE SAM was able to unfold up to 74% of what slice encoding achieved. 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引用次数: 0
摘要
目的:平衡稳态自由前驱(bSSFP)成像容易受到外流效应的影响,即作为血流一部分离开切片的激发自旋被错误地投射回成像平面。之前的研究提出使用切片编码步骤来定位这些外流效应,以免破坏目标切片,但代价是延长扫描时间。本研究对这一想法进行了扩展,提出了一种使用线圈定位方法显著减少成像切片中大部分外流信号的方法,该方法除了获取二维数据外,还获取切片编码校准扫描,而且不像我们之前的方法那样耗时。这种线圈定位方法名为 "使用结构化自动校准矩阵消除不完美切片轮廓中的线圈定位误差"(UNCLE SAM):方法:进行了回顾性和前瞻性评估。方法:分别进行了回顾性和前瞻性评估,二者均采用二维采集,并在所有所需的切片编码步骤中对平面内 k$ k$ 空间中心线进行单独的切片编码校准:回顾性结果包括切片编码图像与 UNCLE SAM 的逐片比较。将 UNCLE SAM 从切片编码图像中减去的结果与从流动破坏的二维图像中减去的结果进行比较,以证明 UNCLE SAM 能够展开外流自旋。UNCLE SAM 与切片编码的比较结果显示,UNCLE SAM 能够展开的旋转量是切片编码的 74%。前瞻性结果显示,外流效应显著减少,而扫描时间仅比二维采集略有增加:我们开发了一种方法,它能有效地展开大部分外流自旋,避免破坏目标切片,而且不需要明确使用切片编码梯度。与全采样切片编码技术相比,该方法能在临床可行的扫描时间内减少目标切片的大部分外流效应。
Unfolding coil localized errors from an imperfect slice profile using a structured autocalibration matrix: An application to reduce outflow effects in cine bSSFP imaging.
Purpose: Balanced steady-state free precession (bSSFP) imaging is susceptible to outflow effects where excited spins leaving the slice as part of the blood stream are misprojected back onto the imaging plane. Previous work proposed using slice-encoding steps to localize these outflow effects from corrupting the target slice, at the expense of prolonged scan time. This present study extends this idea by proposing a means of significantly reducing most of the outflowing signal from the imaged slice using a coil localization method that acquires a slice-encoded calibration scan in addition to the 2D data, without being nearly as time-demanding as our previous method. This coil localization method is titled UNfolding Coil Localized Errors from an imperfect slice profile using a Structured Autocalibration Matrix (UNCLE SAM).
Methods: Retrospective and prospective evaluations were carried out. Both featured a 2D acquisition and a separate slice-encoded calibration of the center in-plane -space lines across all desired slice-encoding steps.
Results: Retrospective results featured a slice-by-slice comparison of the slice-encoded images with UNCLE SAM. UNCLE SAM's subtraction from the slice-encoded image was compared with a subtraction from the flow-corrupted 2D image, to demonstrate UNCLE SAM's capability to unfold outflowing spins. UNCLE SAM's comparison with slice encoding showed that UNCLE SAM was able to unfold up to 74% of what slice encoding achieved. Prospective results showed significant reduction in outflow effects with only a marginal increase in scan time from the 2D acquisition.
Conclusions: We developed a method that effectively unfolds most outflowing spins from corrupting the target slice and does not require the explicit use of slice-encoding gradients. This development offers a method to reduce most outflow effects from the target slice within a clinically feasible scan duration compared with the fully sampled slice-encoding technique.
期刊介绍:
NMR in Biomedicine is a journal devoted to the publication of original full-length papers, rapid communications and review articles describing the development of magnetic resonance spectroscopy or imaging methods or their use to investigate physiological, biochemical, biophysical or medical problems. Topics for submitted papers should be in one of the following general categories: (a) development of methods and instrumentation for MR of biological systems; (b) studies of normal or diseased organs, tissues or cells; (c) diagnosis or treatment of disease. Reports may cover work on patients or healthy human subjects, in vivo animal experiments, studies of isolated organs or cultured cells, analysis of tissue extracts, NMR theory, experimental techniques, or instrumentation.