A fast, accurate, and reliable reconstruction method of the lumbar spine vertebrae using positional MRI.

A fast, accurate, and reliable reconstruction method of the lumbar spine vertebrae using positional MRI.
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一种使用位置 MRI 快速、准确、可靠的腰椎重建方法。

DOI:
10.1007/s10439-013-0947-7
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发表时间:
2014
影响因子:
3.8
通讯作者:
Davidson,BradleyS
Davidson,BradleyS
中科院分区:
工程技术2区
文献类型:
--
作者:
Simons,CraigJ;Cobb,Loren;Davidson,BradleyS

文献摘要

相似文献

腰椎形态的活体测量有助于建立定量生物力学模型。位置磁共振成像(MRI)比传统MRI适应大多数关节的运动范围更大,并且不需要仰卧位。然而,这是以牺牲图像分辨率和对比度为代价的。因此,使用位置MRI的定量研究需要很长的重建时间,并且由于图像中骨骼和周围组织之间的对比度低,对错误识别椎骨边界很敏感。我们提出了一种半自动化的方法,用于获得数字化重建的腰椎在任何姿势的利益。该方法将高分辨率参考扫描与低分辨率姿势扫描相结合,以提供感兴趣姿势下椎骨的详细且准确的表示。与标准相比,平移重建误差范围为0.7至1.6 mm,旋转重建误差范围为0.3至2.6°。组内相关系数表明成像平面内测量的评价者间可靠性较高(ICC 0.97-0.99)。计算效率表明,该方法可用于编译足够大的数据集,以解释人口方差,并可能扩大使用的位置MRI作为定量生物力学研究工具。
In vivomeasurement of lumbar spine configuration is useful for constructing quantitative biomechanical models. Positional magnetic resonance imaging (MRI) accommodates a larger range of movement in most joints than conventional MRI and does not require a supine position. However, this is achieved at the expense of image resolution and contrast. As a result, quantitative research using positional MRI has required long reconstruction times and is sensitive to incorrectly identifying the vertebral boundary due to low contrast between bone and surrounding tissue in the images. We present a semi-automated method used to obtain digitized reconstructions of lumbar vertebrae in any posture of interest. This method combines a high-resolution reference scan with a low-resolution postural scan to provide a detailed and accurate representation of the vertebrae in the posture of interest. Compared to a criterion standard, translational reconstruction error ranged from 0.7 to 1.6 mm and rotational reconstruction error ranged from 0.3 to 2.6°. Intraclass correlation coefficients indicated high interrater reliability for measurements within the imaging plane (ICC 0.97–0.99). Computational efficiency indicates that this method may be used to compile data sets large enough to account for population variance, and potentially expand the use of positional MRI as a quantitative biomechanics research tool.