Wentland Andrew L, McWalter Emily J, Pal Saikat, Delp Scott L, Gold Garry E
Department of Medical Physics, University of Wisconsin School of Medicine & Public Health, Madison, Wisconsin, USA.
Department of Radiology, Stanford University School of Medicine, Stanford, California, USA.
J Magn Reson Imaging. 2015 Aug;42(2):526-32. doi: 10.1002/jmri.24807. Epub 2014 Nov 25.
To evaluate velocity waveforms in muscle and to create a tool and algorithm for computing and analyzing muscle inertial forces derived from 2D phase contrast (PC) magnetic resonance imaging (MRI).
PC MRI was performed in the forearm of four healthy volunteers during 1 Hz cycles of wrist flexion-extension as well as in the lower leg of six healthy volunteers during 1 Hz cycles of plantarflexion-dorsiflexion. Inertial forces (F) were derived via the equation F = ma. The mass, m, was derived by multiplying voxel volume by voxel-by-voxel estimates of density via fat-water separation techniques. Acceleration, a, was obtained via the derivative of the PC MRI velocity waveform.
Mean velocities in the flexors of the forearm and lower leg were 1.94 ± 0.97 cm/s and 5.57 ± 2.72 cm/s, respectively, as averaged across all subjects; the inertial forces in the flexors of the forearm and lower leg were 1.9 × 10(-3) ± 1.3 × 10(-3) N and 1.1 × 10(-2) ± 6.1 × 10(-3) N, respectively, as averaged across all subjects.
PC MRI provided a promising means of computing muscle velocities and inertial forces-providing the first method for quantifying inertial forces.
评估肌肉中的速度波形,并创建一种工具和算法,用于计算和分析从二维相位对比(PC)磁共振成像(MRI)得出的肌肉惯性力。
对4名健康志愿者的前臂进行PC MRI检查,检查过程中志愿者以1 Hz的频率进行腕关节屈伸运动;同时对6名健康志愿者的小腿进行PC MRI检查,检查过程中志愿者以1 Hz的频率进行踝关节跖屈-背屈运动。通过公式F = ma得出惯性力(F)。质量m通过体素体积乘以利用脂肪-水分离技术逐体素估计的密度得出。加速度a通过PC MRI速度波形的导数获得。
所有受试者前臂屈肌的平均速度为1.94±0.97 cm/s,小腿屈肌的平均速度为5.57±2.72 cm/s;所有受试者前臂屈肌的惯性力平均为1.9×10⁻³±1.3×10⁻³ N,小腿屈肌的惯性力平均为1.1×10⁻²±6.1×10⁻³ N。
PC MRI为计算肌肉速度和惯性力提供了一种有前景的方法——这是第一种量化惯性力的方法。