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A novel diffusion‐tensor MRI approach for skeletal muscle fascicle length measurements

机译:用于骨骼肌束长度测量的新型扩散张量MRI方法

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摘要

Musculoskeletal (dys‐)function relies for a large part on muscle architecture which can be obtained using Diffusion‐Tensor MRI (DT‐MRI) and fiber tractography. However, reconstructed tracts often continue along the tendon or aponeurosis when using conventional methods, thus overestimating fascicle lengths. In this study, we propose a new method for semiautomatic segmentation of tendinous tissue using tract density (TD). We investigated the feasibility and repeatability of this method to quantify the mean fascicle length per muscle. Additionally, we examined whether the method facilitates measuring changes in fascicle length of lower leg muscles with different foot positions. Five healthy subjects underwent two DT‐MRI scans of the right lower leg, with the foot in 15° dorsiflexion, neutral, and 30° plantarflexion positions. Repeatability of fascicle length measurements was assessed using Bland–Altman analysis. Changes in fascicle lengths between the foot positions were tested using a repeated multivariate analysis of variance (MANOVA). Bland–Altman analysis showed good agreement between repeated measurements. The coefficients of variation in neutral position were 8.3, 16.7, 11.2, and 10.4% for soleus (SOL), fibularis longus (FL), extensor digitorum longus (EDL), and tibialis anterior (TA), respectively. The plantarflexors (SOL and FL) showed significant increase in fascicle length from plantarflexion to dorsiflexion, whereas the dorsiflexors (EDL and TA) exhibited a significant decrease. The use of a tract density for semiautomatic segmentation of tendinous structures provides more accurate estimates of the mean fascicle length than traditional fiber tractography methods. The method shows moderate to good repeatability and allows for quantification of changes in fascicle lengths due to passive stretch.
机译:肌肉骨骼(功能障碍)功能在很大程度上依赖于肌肉结构,这可以通过弥散张量MRI(DT-MRI)和纤维束摄影术获得。然而,当使用常规方法时,重建的束通常沿着肌腱或腱膜继续延伸,因此高估了束的长度。在这项研究中,我们提出了一种新的使用束密度(TD)对肌腱组织进行半自动分割的方法。我们研究了这种方法量化每根肌肉平均束长度的可行性和可重复性。此外,我们检查了该方法是否有助于测量不同脚位置的小腿肌肉的束长度变化。五名健康​​受试者对右小腿进行了两次DT-MRI扫描,脚处于背屈15°,中立和30屈30°的位置。使用Bland–Altman分析评估束长度测量的可重复性。使用重复的多元方差分析(MANOVA)测试脚部位置之间束长度的变化。 Bland–Altman分析显示重复测量之间有很好的一致性。比目鱼(SOL),腓骨长肌(FL),趾长伸肌(EDL)和胫前肌(TA)的中立位置变异系数分别为8.3%,16.7%,11.2%和10.4%。 plant屈(SOL和FL)显示从length屈到背屈的束长度显着增加,而背屈(EDL和TA)则显着减少。与传统的纤维束摄影方法相比,将束密度用于肌腱结构的半自动分割可以更准确地估计平均束长度。该方法显示出中等至良好的可重复性,并且可以量化由于被动拉伸而引起的束长度变化。

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