Carly A Lockard, Melissa T Hooijmans, Xingyu Zhou, Crystal Coolbaugh, Bruce M Damon
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The effects of different tractography settings on muscle architecture estimates have not been fully explored, and optimized settings for muscle tractography have not yet been determined. We examined the influence of integration algorithm and termination check settings combined with a range of step sizes, termination criteria, and smoothing polynomial orders on tract characteristics, completion/reason for termination, and goodness of fit between fiber tracts and smoothing polynomials using 3-T DT-MR images of the lower leg muscles of seven healthy adults. We found that tract length and completion were highly sensitive to strict FA and intersegment angle thresholds (25%-69% reduction in complete fiber tracts from lowest to highest minimum FA threshold and 11%-36% reduction from highest to lowest intersegment angle threshold). Higher order polynomials (third and fourth order vs. second order) better fit the muscle fiber trajectories, but curvature estimates were highly sensitive to smoothing polynomial order (3.9-6.6 m<sup>-1</sup> increase for second- vs. fourth-order fitting polynomials). Step size impacted curvature estimates, albeit to a lesser degree. Integration algorithm had little impact, and mean pennation angle, and tract-based FA and MD, were relatively insensitive to all parameters. The results demonstrate which muscle diffusion measures and architectural estimates are most sensitive to varying tractography settings and support the need for consistent reporting of tractography details to aid interpretation and comparison of results between studies.</p>","PeriodicalId":19309,"journal":{"name":"NMR in Biomedicine","volume":" ","pages":"e5205"},"PeriodicalIF":2.7000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of diffusion tensor imaging tractography settings on muscle fascicle architecture and diffusion parameter estimates: Tract length, completion, and curvature are most sensitive to tractography settings.\",\"authors\":\"Carly A Lockard, Melissa T Hooijmans, Xingyu Zhou, Crystal Coolbaugh, Bruce M Damon\",\"doi\":\"10.1002/nbm.5205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Diffusion-tensor (DT)-MRI tractography provides information about properties relevant to muscle health and function, including estimates of architectural properties such as fascicle length, pennation angle, and curvature and diffusion properties such as mean diffusivity (MD) and fractional anisotropy (FA). Tractography settings, including integration algorithms, thresholds for early tract termination, and tract smoothing approaches, impact the accuracy of the muscle property estimates. However, muscle DT-MRI tractography is performed using a variety of these settings, complicating comparisons between different studies. The effects of different tractography settings on muscle architecture estimates have not been fully explored, and optimized settings for muscle tractography have not yet been determined. We examined the influence of integration algorithm and termination check settings combined with a range of step sizes, termination criteria, and smoothing polynomial orders on tract characteristics, completion/reason for termination, and goodness of fit between fiber tracts and smoothing polynomials using 3-T DT-MR images of the lower leg muscles of seven healthy adults. 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引用次数: 0
摘要
弥散张量(DT)-MRI 肌束成像可提供与肌肉健康和功能相关的属性信息,包括对结构属性(如筋膜长度、折角和曲率)和弥散属性(如平均弥散率(MD)和分数各向异性(FA))的估计。肌束成像设置,包括整合算法、早期肌束终止阈值和肌束平滑方法,都会影响肌肉属性估计的准确性。然而,肌肉 DT-MRI 肌束成像使用了各种不同的设置,使得不同研究之间的比较变得复杂。不同的肌肉束成像设置对肌肉结构估计的影响尚未得到充分探讨,肌肉束成像的优化设置也尚未确定。我们使用七名健康成年人小腿肌肉的 3-T DT-MR 图像,研究了整合算法和终止检查设置,以及一系列步长、终止标准和平滑多项式阶数对肌肉束特征、完成度/终止原因、纤维束与平滑多项式之间拟合度的影响。我们发现,纤维束长度和完整性对严格的 FA 和节段间角度阈值高度敏感(从最低到最高的最小 FA 阈值,完整纤维束减少 25%-69%;从最高到最低的节段间角度阈值,完整纤维束减少 11%-36%)。高阶多项式(三阶和四阶与二阶相比)能更好地拟合肌肉纤维轨迹,但曲率估计值对平滑多项式阶数高度敏感(二阶与四阶拟合多项式相比增加了 3.9-6.6 m-1)。步长对曲率估计值的影响较小。整合算法对所有参数的影响不大,平均垂线角、基于束的 FA 和 MD 对所有参数相对不敏感。研究结果表明,哪些肌肉弥散测量和结构估计对不同的牵引成像设置最敏感,并支持对牵引成像细节进行一致报告的必要性,以帮助解释和比较不同研究的结果。
The impact of diffusion tensor imaging tractography settings on muscle fascicle architecture and diffusion parameter estimates: Tract length, completion, and curvature are most sensitive to tractography settings.
Diffusion-tensor (DT)-MRI tractography provides information about properties relevant to muscle health and function, including estimates of architectural properties such as fascicle length, pennation angle, and curvature and diffusion properties such as mean diffusivity (MD) and fractional anisotropy (FA). Tractography settings, including integration algorithms, thresholds for early tract termination, and tract smoothing approaches, impact the accuracy of the muscle property estimates. However, muscle DT-MRI tractography is performed using a variety of these settings, complicating comparisons between different studies. The effects of different tractography settings on muscle architecture estimates have not been fully explored, and optimized settings for muscle tractography have not yet been determined. We examined the influence of integration algorithm and termination check settings combined with a range of step sizes, termination criteria, and smoothing polynomial orders on tract characteristics, completion/reason for termination, and goodness of fit between fiber tracts and smoothing polynomials using 3-T DT-MR images of the lower leg muscles of seven healthy adults. We found that tract length and completion were highly sensitive to strict FA and intersegment angle thresholds (25%-69% reduction in complete fiber tracts from lowest to highest minimum FA threshold and 11%-36% reduction from highest to lowest intersegment angle threshold). Higher order polynomials (third and fourth order vs. second order) better fit the muscle fiber trajectories, but curvature estimates were highly sensitive to smoothing polynomial order (3.9-6.6 m-1 increase for second- vs. fourth-order fitting polynomials). Step size impacted curvature estimates, albeit to a lesser degree. Integration algorithm had little impact, and mean pennation angle, and tract-based FA and MD, were relatively insensitive to all parameters. The results demonstrate which muscle diffusion measures and architectural estimates are most sensitive to varying tractography settings and support the need for consistent reporting of tractography details to aid interpretation and comparison of results between studies.
期刊介绍:
NMR in Biomedicine is a journal devoted to the publication of original full-length papers, rapid communications and review articles describing the development of magnetic resonance spectroscopy or imaging methods or their use to investigate physiological, biochemical, biophysical or medical problems. Topics for submitted papers should be in one of the following general categories: (a) development of methods and instrumentation for MR of biological systems; (b) studies of normal or diseased organs, tissues or cells; (c) diagnosis or treatment of disease. Reports may cover work on patients or healthy human subjects, in vivo animal experiments, studies of isolated organs or cultured cells, analysis of tissue extracts, NMR theory, experimental techniques, or instrumentation.