Modeling for Rehabilitation of Collapsing Femoral Head Based on 3D Statistical Shape Knowledge
This paper presents a novel approach for rehabilitation of the collapsing femoral head caused by ANFH from computer tomography (CT) images based on 3D statistical shape model. The shape knowledge about the biological variability of anatomical objects is fundamental for statistical shape analysis and discrimination between healthy and pathological structures. So we integrate the variability of an object population into generation of a characteristic 3D shape model by statistical shape analysis from a training set firstly. Then, after initialization, a suited model is selected automatically to fit the volume data of patient. In the end, the reconstruction is accomplished by an iterative processing of searching and registration between prior models and original data set, in which the surface of femoral head is resurfaced and rehabilitates its original shape. Several experimental results demonstrate the proposed methods performance and efficacy.
femoral head resurfacing modeling 3D statistical shape model
Weiwei Song Shungang Hua Qin Zhao Weihua Cui Zongying Ou
School of Mechanical Engineering University of Jinan Jinan,P.R.China Key Laboratory for Dalian University of Technology Precision & Non-traditional Machining of Ministry
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）