Department of Radiology, Children's Hospital Boston, 300 Longwood Ave, Boston, MA 02115, USA.
MAGMA. 2012 Apr;25(2):127-33. doi: 10.1007/s10334-011-0286-3. Epub 2011 Oct 19.
To present an algorithm for optimization of background suppression pulse timing for arterial spin labeling (ASL) perfusion imaging.
An algorithm for optimization of background suppression pulse timing is proposed. Numerical optimization of timing of the background suppression pulses is investigated in both constrained and unconstrained ASL sequences. The performance of the parameters from the algorithm is evaluated in phantom and also in vivo in five human subjects.
The background signal is suppressed to less than 1% across a broad range of T1s with a modest number of inversion pulses using the timings acquired from the numerical optimization algorithm proposed in this study. The performance of the parameters from the algorithm is also confirmed in vivo.
Successful background suppression over a broad range of tissues is achievable. Values for optimal pulse timing in both pulsed and continuous ASL studies are reported to facilitate sequence design with different labeling parameters.
提出一种用于动脉自旋标记（ASL）灌注成像的背景抑制脉冲定时优化算法。
提出了一种用于优化背景抑制脉冲定时的算法。在受约束和不受约束的 ASL 序列中，对背景抑制脉冲定时的数值优化进行了研究。在体模和五名人类受试者中，评估了来自算法的参数的性能。
使用本研究中提出的数值优化算法获得的定时，使用少量反转脉冲，在广泛的 T1 值范围内将背景信号抑制到 1%以下。该算法参数的性能也在体内得到了证实。
可以实现广泛组织的成功背景抑制。报告了在脉冲和连续 ASL 研究中优化脉冲定时的值，以方便具有不同标记参数的序列设计。
