A combined imaging, deformation and registration methodology for predicting respirator fitting.
A combined imaging, deformation and registration methodology for predicting respirator fitting.
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DOI：
10.1371/journal.pone.0277570
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发表时间：
2022
期刊：
影响因子：
3.7
通讯作者：
中科院分区：
文献类型：
--
作者：
N95/FFP 3呼吸机对于保护医护人员及其患者免受COVID-19传播至关重要。然而，这些假体的特点是尺寸和几何形状范围有限，这通常与特定性别和种族亚组的拟合问题有关。本研究描述了一种新的方法，结合磁共振成像（MRI）的一个队列的个人（n = 8），与和没有呼吸器原位，3D注册算法预测的适合度的呼吸器。敏感性分析用于优化面部-面部相互作用的变形值，并与从MRI图像估计的软组织位移相证实。然后评估队列中预测的呼吸器拟合和面部人体测量学之间的关联。
N95/FFP3 respirators have been critical to protect healthcare workers and their patients from the transmission of COVID-19. However, these respirators are characterised by a limited range of size and geometry, which are often associated with fitting issues in particular sub-groups of gender and ethnicities. This study describes a novel methodology which combines magnetic resonance imaging (MRI) of a cohort of individuals (n = 8), with and without a respirator in-situ, and 3D registration algorithm which predicted the goodness of fit of the respirator. Sensitivity analysis was used to optimise a deformation value for the respirator-face interactions and corroborate with the soft tissue displacements estimated from the MRI images. An association between predicted respirator fitting and facial anthropometrics was then assessed for the cohort.
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DOI：
10.2147/mder.s121712
发表时间：
2016
期刊：
Medical devices (Auckland, N.Z.)
影响因子：
--
作者：
Worsley PR;Prudden G;Gower G;Bader DL
通讯作者：
Bader DL
影响因子：
2.6
作者：
Keenan, B. E.;Lacan, F.;Cooper, A.;Evans, S. L.;Evans, J.
通讯作者：
Evans, J.
影响因子：
2
作者：
Zhang, Xueyan;Jia, Ning;Wang, Zhongxu
通讯作者：
Wang, Zhongxu
DOI：
10.1080/15459620500391668
发表时间：
2005-12-01
影响因子：
2
作者：
Zhuang, ZQ;Coffey, CC;Ann, RB
通讯作者：
Ann, RB
影响因子：
3.7
作者：
Solano T;Mittal R;Shoele K
通讯作者：
Shoele K