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使用一种基于磁共振成像的新型建模技术对椎间位移进行量化:以猪脊柱模型评估测量偏差和可靠性。

Quantification of intervertebral displacement with a novel MRI-based modeling technique: Assessing measurement bias and reliability with a porcine spine model.

作者信息

Mahato Niladri K, Montuelle Stephane, Goubeaux Craig, Cotton John, Williams Susan, Thomas James, Clark Brian C

机构信息

Ohio Musculoskeletal and Neurological Institute, Ohio University, Athens, OH 45701, United States; Department of Biomedical Sciences, Ohio University, Athens, OH 45701, United States.

Department of Biomedical Sciences, Ohio University, Athens, OH 45701, United States.

出版信息

Magn Reson Imaging. 2017 May;38:77-86. doi: 10.1016/j.mri.2016.12.022. Epub 2016 Dec 24.

Abstract

The purpose of this study was to develop a novel magnetic resonance imaging (MRI)-based modeling technique for measuring intervertebral displacements. Here, we present the measurement bias and reliability of the developmental work using a porcine spine model. Porcine lumbar vertebral segments were fitted in a custom-built apparatus placed within an externally calibrated imaging volume of an open-MRI scanner. The apparatus allowed movement of the vertebrae through pre-assigned magnitudes of sagittal and coronal translation and rotation. The induced displacements were imaged with static (T) and fast dynamic (2D HYCE S) pulse sequences. These images were imported into animation software, in which these images formed a background 'scene'. Three-dimensional models of vertebrae were created using static axial scans from the specimen and then transferred into the animation environment. In the animation environment, the user manually moved the models (rotoscoping) to perform model-to-'scene' matching to fit the models to their image silhouettes and assigned anatomical joint axes to the motion-segments. The animation protocol quantified the experimental translation and rotation displacements between the vertebral models. Accuracy of the technique was calculated as 'bias' using a linear mixed effects model, average percentage error and root mean square errors. Between-session reliability was examined by computing intra-class correlation coefficients (ICC) and the coefficient of variations (CV). For translation trials, a constant bias (β) of 0.35 (±0.11) mm was detected for the 2D HYCE S sequence (p=0.01). The model did not demonstrate significant additional bias with each mm increase in experimental translation (βDisplacement=0.01mm; p=0.69). Using the T sequence for the same assessments did not significantly change the bias (p>0.05). ICC values for the T and 2D HYCE S pulse sequences were 0.98 and 0.97, respectively. For rotation trials, a constant bias (β) of 0.62 (±0.12)° was detected for the 2D HYCE S sequence (p<0.01). The model also demonstrated an additional bias (βDisplacement) of 0.05° with each degree increase in the experimental rotation (p<0.01). Using T sequence for the same assessments did not significantly change the bias (p>0.05). ICC values for the T and 2D HYCE S pulse sequences were recorded 0.97 and 0.91, respectively. This novel quasi-static approach to quantifying intervertebral relationship demonstrates a reasonable degree of accuracy and reliability using the model-to-image matching technique with both static and dynamic sequences in a porcine model. Future work is required to explore multi-planar assessment of real-time spine motion and to examine the reliability of our approach in humans.

摘要

本研究的目的是开发一种基于磁共振成像(MRI)的新型建模技术,用于测量椎间位移。在此,我们展示了使用猪脊柱模型进行的开发工作的测量偏差和可靠性。将猪腰椎节段安装在定制装置中,该装置放置在开放式MRI扫描仪的外部校准成像区域内。该装置允许椎骨通过预先设定的矢状面和冠状面平移及旋转幅度进行移动。通过静态(T)和快速动态(2D HYCE S)脉冲序列对诱导位移进行成像。这些图像被导入动画软件,在该软件中这些图像形成背景“场景”。使用标本的静态轴向扫描创建椎骨的三维模型,然后将其转移到动画环境中。在动画环境中,用户手动移动模型(动态描绘)以进行模型与“场景”匹配,使模型与其图像轮廓相匹配,并为运动节段指定解剖关节轴。动画协议对椎骨模型之间的实验性平移和旋转位移进行了量化。使用线性混合效应模型、平均百分比误差和均方根误差将该技术的准确性计算为“偏差”。通过计算组内相关系数(ICC)和变异系数(CV)来检验不同测量之间的可靠性。对于平移试验,2D HYCE S序列检测到恒定偏差(β)为0.35(±0.11)mm(p = 0.01)。随着实验平移每增加一毫米,模型未显示出显著的额外偏差(β位移 = 0.01mm;p = 0.69)。使用T序列进行相同评估时,偏差没有显著变化(p>0.05)。T序列和2D HYCE S脉冲序列的ICC值分别为0.98和0.97。对于旋转试验,2D HYCE S序列检测到恒定偏差(β)为0.62(±0.12)°(p<0.01)。随着实验旋转每增加一度,模型还显示出额外偏差(β位移)为0.05°(p<0.01)。使用T序列进行相同评估时,偏差没有显著变化(p>0.05)。T序列和2D HYCE S脉冲序列的ICC值分别记录为0.97和0.91。这种用于量化椎间关系的新型准静态方法,通过在猪模型中使用静态和动态序列的模型与图像匹配技术,展示了合理程度的准确性和可靠性。未来需要开展工作来探索实时脊柱运动的多平面评估,并检验我们的方法在人体中的可靠性。

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