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Error Analysis of Cine Phase Contrast MRI Velocity Measurements used for Strain Calculation

机译:电影相衬MRI速度测量中用于应变计算的误差分析

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摘要

Cine Phase Contrast (CPC) MRI offers unique insight into localized skeletal muscle behavior by providing the ability to quantify muscle strain distribution during cyclic motion. Muscle strain is obtained by temporally integrating and spatially differentiating CPC-encoded velocity. The aim of this study was to quantify measurement accuracy and precision and to describe error propagation into displacement and strain. Using an MRI-compatible jig to move a B-gel phantom within a 1.5T MRI bore, CPC-encoded velocities were collected. The three orthogonal encoding gradients (through plane, frequency, and phase) were evaluated independently in post-processing. Two systematic error types were corrected: eddy current-induced bias and calibration-type error. Measurement accuracy and precision were quantified before and after removal of systematic error. Through plane- and frequency-encoded data accuracy were within 0.4mm/s after removal of systematic error – a 70% improvement over the raw data. Corrected phase-encoded data accuracy was within 1.3mm/s. Measured random error was between 1 to 1.4mm/s, which followed the theoretical prediction. Propagation of random measurement error into displacement and strain was found to depend on the number of tracked time segments, time segment duration, mesh size, and dimensional order. To verify this, theoretical predictions were compared to experimentally calculated displacement and strain error. For the parameters tested, experimental and theoretical results aligned well. Random strain error approximately halved with a two-fold mesh size increase, as predicted. Displacement and strain accuracy were within 2.6mm and 3.3%, respectively. These results can be used to predict the accuracy and precision of displacement and strain in user-specific applications.
机译:电影相衬(CPC)MRI通过量化循环运动过程中的肌肉应变分布,提供了对局部骨骼肌行为的独特见解。通过在时间上积分和空间区分CPC编码速度来获得肌肉劳损。这项研究的目的是量化测量精度和精度,并描述误差传播到位移和应变中。使用MRI兼容夹具在1.5T MRI孔内移动B凝胶体模,收集了CPC编码的速度。在后处理中独立评估了三个正交编码梯度(通过平面,频率和相位)。纠正了两种系统性错误类型:涡流感应偏差和校准类型错误。在消除系统误差之前和之后,对测量精度和精度进行了量化。消除系统误差后,通过平面和频率编码的数据精度在0.4mm / s以内–比原始数据提高了70%。校正后的相位编码数据精度在1.3mm / s之内。测得的随机误差在1至1.4mm / s之间,符合理论预测。发现随机测量误差在位移和应变中的传播取决于所跟踪的时间段的数量,时间段的持续时间,网格尺寸和尺寸顺序。为了验证这一点,将理论预测与实验计算的位移和应变误差进行了比较。对于测试的参数,实验和理论结果吻合良好。如所预测的,随机应变误差随着网格尺寸的两倍增加而大约减半。位移和应变精度分别在2.6mm和3.3%之内。这些结果可用于预测用户特定应用中位移和应变的精度和精确度。

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