Rapid generation of human femur models based on morphological parameters and mesh deformation

ABSTRACT In this paper a new method for generating human femur models was presented, which combined parametric technology and deformation technology. The main target of our proposed method was to quickly generate a three-dimensional model which would best suit the patient's femur bone, even if a part of the bone was damaged or only partial data about the bone shape is available. First, all femur sample models were remeshed so as to have the same topology as the template, which enabled them to achieve compatible mesh segmentation quickly. Then, complete morphological parameters of all femur samples were calculated effectively and thereby a parameter set was got, which served as both reference and a constraint for generating new femur models. Next, according to partial known parameters, the best matching sample and the average model were selected to create a rough femur model through global interpolation. Finally, the rough model was further deformed locally to modify details until the desired femur model was obtained. Experimental results showed that the proposed method could efficiently generate anatomically suitable femur models, of which both the parameter error and the shape error were clinically acceptable.