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Monitoring of Muscle and Bone Recovery in Spinal Cord Injury Patients Treated With Electrical Stimulation Using Three-Dimensional Imaging and Segmentation Techniques: Methodological Assessment

机译:使用三维成像和分段技术监测电刺激治疗的脊髓损伤患者的肌肉和骨骼恢复:方法学评估

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摘要

Muscle tissue composition accounting for the relative content of muscle fibers and intramuscular adipose and loose fibrous tissues can be efficiently analyzed and quantified using images from spiral computed tomography (S-CT) technology and the associated distribution of Hounsfield unit (HU) values. Muscle density distribution, especially when including the whole muscle volume, provides remarkable information on the muscle condition. Different physiological and pathological scenarios can be depicted using the muscle characterization technique based on the HU values and the definition of appropriate intervals and the association of such intervals to different colors. Using this method atrophy, degeneration, and restoration in denervated muscle undergoing electrical stimulation treatments can be clearly displayed and monitored. Moreover, finite element methods are employed to calculate Young's modulus on the patella bone and to analyze correlation between muscle contraction and bone strength changes. The reliability of this tool though depends on S-CT assessment and calibration. To assess imaging quality and the use of HU values to display muscle composition, different S-CT devices are compared using a Quasar body scanner. Density distributions and volumes of various calibration elements such as lung, polyethylene, water equivalent, and trabecular and dense bone are measured with different scanning protocols and at different points of time. The results show that every scanned element undergoes HU variations, which are greater for materials at the extremes of the HU scale, such as dense bone and lung inhale. Moreover, S-CT scanning with low tube voltages (80?KV) produces inaccurate HU values especially in bones. In conclusion, 3-D modeling techniques based on S-CT scanning is a powerful follow-up tool that may provide structural information at the millimeter scale, and thus may drive choice and timing to validate rehabilitation protocols.?
机译:可以使用来自螺旋计算机断层扫描(S-CT)技术的图像以及相关的Hounsfield单位(HU)值分布,有效地分析和定量考虑到肌肉纤维,肌肉内脂肪和疏松纤维组织的相对含量的肌肉组织组成。肌肉密度分布,尤其是包括整个肌肉体积时,可提供有关肌肉状况的重要信息。基于HU值和适当间隔的定义以及这些间隔与不同颜色的关联,可以使用肌肉表征技术来描绘不同的生理和病理情况。使用这种方法,可以清楚地显示和监视经过电刺激治疗的失神经肌肉的萎缩,变性和恢复。此外,采用有限元方法计算calculate骨的杨氏模量,并分析肌肉收缩与骨强度变化之间的相关性。该工具的可靠性取决于S-CT评估和校准。为了评估成像质量和使用HU值显示肌肉组成,使用类星体扫描仪比较了不同的S-CT设备。使用不同的扫描方案并在不同的时间点测量各种校准元素(例如肺,聚乙烯,水当量以及小梁和致密骨)的密度分布和体积。结果表明,每个扫描元素都会经历HU变化,对于HU范围极端的材料(例如密集的骨骼和肺部吸入)而言,变化更大。此外,低管电压(80?KV)的S-CT扫描会产生不准确的HU值,尤其是在骨骼中。总之,基于S-CT扫描的3-D建模技术是一种强大的后续工具,可以提供毫米级的结构信息,因此可以驱动选择和时机来验证康复方案。

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