Agrawal Praful, Mozingo Joseph D, Elhabian Shireen Y, Anderson Andrew E, Whitaker Ross T
Scientific Computing and Imaging Institute, University of Utah.
Shape Med Imaging (2020). 2020 Oct;12474:111-121. doi: 10.1007/978-3-030-61056-2_9. Epub 2020 Oct 3.
Quantifying shape variations in articulated joints is of utmost interest to understand the underlying joint biomechanics and associated clinical symptoms. For joint comparisons and analysis, the relative positions of the bones can confound subsequent analysis. Clinicians design specific image acquisition protocols to neutralize the individual pose variations. However, recent studies have shown that even specific acquisition protocols fail to achieve consistent pose. The individual pose variations are largely attributed to the day-to-day functioning of the patient, such as gait during walk, as well as interactions between specific morphologies and joint alignment. This paper presents a novel two-step method to neutralize such patient-specific variations while simultaneously preserving the inherent relationship of the articulated joint. The resulting shape models are then used to discover clinically relevant shape variations in a population of hip joints.
量化关节的形状变化对于理解潜在的关节生物力学和相关临床症状至关重要。对于关节比较和分析，骨骼的相对位置可能会混淆后续分析。临床医生设计特定的图像采集方案以消除个体姿势变化。然而，最近的研究表明，即使是特定的采集方案也无法实现一致的姿势。个体姿势变化很大程度上归因于患者的日常功能，如行走时的步态，以及特定形态与关节对齐之间的相互作用。本文提出了一种新颖的两步法来消除此类患者特定的变化，同时保留关节的内在关系。然后，所得的形状模型用于发现髋关节群体中与临床相关的形状变化。
