Title: Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur Show Chinese title

Title: 从稀疏标志点和统计形状模型进行骨表面重建和临床特征估计：股骨可行性研究

Abstract: In this study, we investigated a method allowing the determination of the femur bone surface as well as its mechanical axis from some easy-to-identify bony landmarks. The reconstruction of the whole femur is therefore performed from these landmarks using a Statistical Shape Model (SSM). The aim of this research is therefore to assess the impact of the number, the position, and the accuracy of the landmarks for the reconstruction of the femur and the determination of its related mechanical axis, an important clinical parameter to consider for the lower limb analysis. Two statistical femur models were created from our in-house dataset and a publicly available dataset. Both were evaluated in terms of average point-to-point surface distance error and through the mechanical axis of the femur. Furthermore, the clinical impact of using landmarks on the skin in replacement of bony landmarks is investigated. The predicted proximal femurs from bony landmarks were more accurate compared to on-skin landmarks while both had less than 3.5 degrees mechanical axis angle deviation error. The results regarding the non-invasive determination of the mechanical axis are very encouraging and could open very interesting clinical perspectives for the analysis of the lower limb either for orthopedics or functional rehabilitation. Show Chinese abstract

Abstract: 在本研究中，我们调查了一种方法，允许从一些易于识别的骨性标志点确定股骨骨面及其机械轴。 因此，使用统计形状模型（SSM）从这些标志点重建整个股骨。 本研究的目的是评估标志点的数量、位置和准确性对股骨重建及其相关机械轴确定的影响，这是下肢分析中一个重要的临床参数。 从我们的内部数据集和一个公开可用的数据集创建了两个统计股骨模型。 两者都通过平均点对点表面距离误差和股骨的机械轴进行了评估。 此外，还研究了在皮肤上使用标志点代替骨性标志点的临床影响。 与皮肤上的标志点相比，从骨性标志点预测的近端股骨更加准确，而两者均小于3.5度的机械轴角度偏差误差。 关于非侵入性确定机械轴的结果非常有希望，可能为下肢分析提供非常有趣的临床前景，无论是用于骨科还是功能康复。