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一种使用分段计算机断层扫描进行自动掩蔽和足底压力分析的方法。

A method for automated masking and plantar pressure analysis using segmented computed tomography scans.

机构信息

VA RR& D Center for Limb Loss and MoBility (CLiMB), Seattle, WA 98108, USA; Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.

VA RR& D Center for Limb Loss and MoBility (CLiMB), Seattle, WA 98108, USA.

出版信息

Gait Posture. 2024 Jun;111:92-98. doi: 10.1016/j.gaitpost.2024.04.015. Epub 2024 Apr 15.

DOI:10.1016/j.gaitpost.2024.04.015
PMID:38657477
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11127777/
Abstract

BACKGROUND

Plantar pressure, a common gait and foot biomechanics measurement, is typically analyzed using proprietary commercial software packages. Regional plantar pressure analysis is often reported in terms of underlying bony geometry, and recent advances in image processing and accessibility have made computed tomography, radiographs, magnetic resonance imaging, or other imaging methods more popular for incorporating bone analyses in biomechanics.

RESEARCH QUESTION

Can a computed tomography-based regional mask provide comparable regional analysis to commercial plantar pressure software and can the increased flexibility of an in-house method obtain additional insight from common measurements?

METHODS

A plantar pressure analysis method was developed based on bony geometry from computed tomography scans to calculate peak pressure, pressure time integral incorporating sub-peak values, force time integral, pressure gradient, and pressure gradient angle. Static and dynamic plantar pressure were acquired for 4 subjects (male, 65 ± 2.4 years). Plantar pressure variables were calculated using commercial and computed tomography-based systems.

RESULTS

Dynamic peak pressure, pressure time integral, and force-time integral computed using the bone-based software was 5 % (9kPa), 7 % (0.3kPa-s) and 13 % (0.3 N-s) different than the commercial software on average. Region masks of the metatarsals and toes differed between commercial and computed tomography-based software due to subject-specific bone geometry and toe shape. Pressure time integral values incorporating sub-peak pressure were higher and demonstrated higher relative hindfoot values compared to those without. Removing step-on frames to static pressure analysis decreased forefoot pressures. Regional maps of peak pressure and maximum pressure gradient demonstrate different peak locations.

SIGNIFICANCE

Computed tomography-based regional masks are comparable to commercial masks. Inclusion of static step-on frames and sub-peak pressures may change regional plantar pressure patterns. Differences in location of maximum pressure gradient and peak pressure may be useful for assessing subject specific injury risk.

摘要

背景

足底压力是一种常见的步态和足部生物力学测量方法,通常使用专有的商业软件包进行分析。足底压力的区域分析通常根据潜在的骨骼几何形状进行报告,最近图像处理和可及性的进步使得计算机断层扫描、射线照相、磁共振成像或其他成像方法在生物力学中更受欢迎,可用于进行骨骼分析。

研究问题

基于计算机断层扫描的区域掩模是否可以提供与商业足底压力软件相当的区域分析,并且内部方法的灵活性是否可以从常见测量中获得更多的见解?

方法

基于计算机断层扫描的骨骼几何形状开发了一种足底压力分析方法,以计算峰值压力、包含次峰值的压力时间积分、力时间积分、压力梯度和压力梯度角。对 4 名受试者(男性,65±2.4 岁)进行静态和动态足底压力测量。使用商业和基于计算机断层扫描的系统计算足底压力变量。

结果

使用基于骨骼的软件计算的动态峰值压力、压力时间积分和力时间积分平均比商业软件分别低 5%(9kPa)、7%(0.3kPa-s)和 13%(0.3N-s)。由于受试者特定的骨骼几何形状和脚趾形状,商用软件和基于计算机断层扫描的软件的跖骨和脚趾区域掩模不同。包含次峰值压力的压力时间积分值更高,并且与不包含次峰值压力的压力时间积分值相比,显示出更高的相对后足值。从静态压力分析中去除踏足框架会降低前足压力。峰值压力和最大压力梯度的区域图显示出不同的峰值位置。

意义

基于计算机断层扫描的区域掩模与商业掩模相当。包括静态踏足框架和次峰值压力可能会改变区域足底压力模式。最大压力梯度和峰值压力的位置差异可能有助于评估特定于受试者的受伤风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a81/11127777/c9b0f229486a/nihms-1988825-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a81/11127777/c7fa02197343/nihms-1988825-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a81/11127777/088974377417/nihms-1988825-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a81/11127777/d791b54c68d5/nihms-1988825-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a81/11127777/c9b0f229486a/nihms-1988825-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a81/11127777/c7fa02197343/nihms-1988825-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a81/11127777/088974377417/nihms-1988825-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a81/11127777/d791b54c68d5/nihms-1988825-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a81/11127777/c9b0f229486a/nihms-1988825-f0004.jpg

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