Almutairi Haifa M, Boubertakh Redha, Miquel Marc E, Petersen Steffen E
1 Centre for Advanced Cardiovascular Imaging and Research, William Harvey Research Institute, Queen Mary University London, London, UK.
2 Clinical Physics, Barts Health NHS Trust, London, United Kingdom.
Br J Radiol. 2017 Dec;90(1080):20170072. doi: 10.1259/bjr.20170072. Epub 2017 Oct 9.
Cardiovascular magnetic resonance (CMR) imaging is an important modality that allows the assessment of regional myocardial function by measuring myocardial deformation parameters, such as strain and strain rate throughout the cardiac cycle. Feature tracking is a promising quantitative post-processing technique that is increasingly used. It is commonly applied to cine images, in particular steady-state free precession, acquired during routine CMR examinations.
To review the studies that have used feature tracking techniques in healthy subjects or patients with cardiovascular diseases. The article emphasizes the advantages and limitations of feature tracking when applied to regional deformation parameters. The challenges of applying the techniques in clinics and potential solutions are also reviewed.
Research studies in healthy volunteers and/or patients either applied CMR-feature tracking alone to assess myocardial motion or compared it with either established CMR-tagging techniques or to speckle tracking echocardiography. These studies assessed the feasibility and reliability of calculating or determining global and regional myocardial deformation strain parameters. Regional deformation parameters are reviewed and compared. Better reproducibility for global deformation was observed compared with segmental parameters. Overall, studies demonstrated that circumferential was the most reproducible deformation parameter, usually followed by longitudinal strain; in contrast, radial strain showed high variability.
Although feature tracking is a promising tool, there are still discrepancies in the results obtained using different software packages. This highlights a clear need for standardization of MRI acquisition parameters and feature tracking analysis methodologies. Validation, including physical and numerical phantoms, is still required to facilitate the use of feature tracking in routine clinical practice.
心血管磁共振(CMR)成像是一种重要的检查方式,可通过测量心肌变形参数(如整个心动周期中的应变和应变率)来评估局部心肌功能。特征追踪是一种很有前景的定量后处理技术,应用越来越广泛。它通常应用于电影图像,特别是在常规CMR检查期间采集的稳态自由进动图像。
回顾在健康受试者或心血管疾病患者中使用特征追踪技术的研究。本文强调了特征追踪应用于局部变形参数时的优点和局限性。还回顾了在临床应用该技术的挑战及潜在解决方案。
针对健康志愿者和/或患者的研究,要么单独应用CMR特征追踪来评估心肌运动,要么将其与既定的CMR标记技术或斑点追踪超声心动图进行比较。这些研究评估了计算或确定整体和局部心肌变形应变参数的可行性和可靠性。对局部变形参数进行了回顾和比较。与节段参数相比,整体变形的再现性更好。总体而言,研究表明圆周应变是最具再现性的变形参数,通常其次是纵向应变;相比之下,径向应变显示出高度变异性。
尽管特征追踪是一种很有前景的工具,但使用不同软件包获得的结果仍存在差异。这凸显了对MRI采集参数和特征追踪分析方法进行标准化的明确需求。仍需要进行包括物理和数字模型在内的验证,以促进特征追踪在常规临床实践中的应用。