OpenHands: An Open-Source Statistical Shape Model of the Finger Bones

IF 3 2区 医学 Q3 ENGINEERING, BIOMEDICAL Annals of Biomedical Engineering Pub Date : 2024-07-03 DOI:10.1007/s10439-024-03560-7
T. A. Munyebvu, C. D. Metcalf, C. B. Burson-Thomas, D. Warwick, C. Everitt, L. King, A. Darekar, M. Browne, M. O. W. Heller, A. S. Dickinson
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Abstract

This paper presents statistical shape models of the four fingers of the hand, with an emphasis on anatomic analysis of the proximal and distal interphalangeal joints. A multi-body statistical shape modelling pipeline was implemented on an exemplar training dataset of computed tomography (CT) scans of 10 right hands (5F:5M, 27–37 years, free from disease or injury) imaged at 0.3 mm resolution, segmented, meshed and aligned. Model generated included pose neutralisation to remove joint angle variation during imaging. Repositioning was successful; no joint flexion variation was observed in the resulting model. The first principal component (PC) of morphological variation represented phalanx size in all fingers. Subsequent PCs showed variation in position along the palmar-dorsal axis, and bone breadth: length ratio. Finally, the models were interrogated to provide gross measures of bone lengths and joint spaces. These models have been published for open use to support wider community efforts in hand biomechanical analysis, providing bony anatomy descriptions whilst preserving the security of the underlying imaging data and privacy of the participants. The model describes a small, homogeneous population, and assumptions cannot be made about how it represents individuals outside the training dataset. However, it supplements anthropometric datasets with additional shape information, and may be useful for investigating factors such as joint morphology and design of hand-interfacing devices and products. The model has been shared as an open-source repository (https://github.com/abel-research/OpenHands), and we encourage the community to use and contribute to it.

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OpenHands:一个开源的手指骨骼统计形状模型。
本文介绍了手部四个手指的统计形状模型,重点是近端和远端指间关节的解剖分析。在一个示例训练数据集上实施了多体统计形状建模流水线,该数据集是以 0.3 毫米分辨率对 10 只右手(5F:5M,27-37 岁,无疾病或损伤)的计算机断层扫描(CT)扫描图像进行分割、网格划分和对齐。生成的模型包括姿势中和,以消除成像过程中的关节角度变化。重新定位很成功;在生成的模型中没有观察到关节弯曲变化。形态变化的第一个主成分(PC)代表了所有手指的指骨大小。随后的主成分显示了沿掌背轴线的位置变化以及骨宽:长度比。最后,对模型进行分析,以提供骨长度和关节间隙的粗略测量值。这些模型已公开发布,以支持更广泛的手部生物力学分析社区工作,在提供骨骼解剖描述的同时,保护底层成像数据的安全性和参与者的隐私。该模型描述的是一个小规模的同质人群,因此无法假设它如何代表训练数据集之外的个体。不过,它为人体测量数据集提供了额外的形状信息,可能有助于研究关节形态等因素以及手部界面设备和产品的设计。该模型已作为开放源代码库( https://github.com/abel-research/OpenHands )共享,我们鼓励社会各界使用和贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of Biomedical Engineering
Annals of Biomedical Engineering 工程技术-工程:生物医学
CiteScore
7.50
自引率
15.80%
发文量
212
审稿时长
3 months
期刊介绍: Annals of Biomedical Engineering is an official journal of the Biomedical Engineering Society, publishing original articles in the major fields of bioengineering and biomedical engineering. The Annals is an interdisciplinary and international journal with the aim to highlight integrated approaches to the solutions of biological and biomedical problems.
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