Precise knee kinematics assessment helps to diagnose knee pathologies and to improve the design of customized prosthetic components. The first step in identifying knee kinematics is to assess the femoral motion in the anatomical frame. However, no work has been done on pathological femurs, whose shape can be highly different from healthy ones

Akbari Shandiz, Mohsen

Anglin, Carolyn

De Momi, Elena

Ferrigno, Giancarlo

Valenti, Marta

Yu, Weimin

Zheng, Guoyan

PURPOSE:

Precise knee kinematics assessment helps to diagnose knee pathologies and to improve the design of customized prosthetic components. The first step in identifying knee kinematics is to assess the femoral motion in the anatomical frame. However, no work has been done on pathological femurs, whose shape can be highly different from healthy ones.



METHODS:

We propose a new femoral tracking technique based on statistical shape models and two calibrated fluoroscopic images, taken at different flexion-extension angles. The cost function optimization is based on genetic algorithms, to avoid local minima. The proposed approach was evaluated on 3 sets of digitally reconstructed radiographic images of osteoarthritic patients.



RESULTS:

It is found that using the estimated shape, rather than that calculated from CT, significantly reduces the pose accuracy, but still has reasonably good results (angle errors around 2[Formula: see text], translation around 1.5 mm)

Bern Open Repository and Information System (BORIS)

English

Fluoroscopy-based tracking of femoral kinematics with statistical shape models

VALENTI, MARTA

DE MOMI, ELENA

FERRIGNO, GIANCARLO

Archivio istituzionale della ricerca - Politecnico di Milano

https://re.public.polimi.it/retrieve/handle/11311/965577/53751/CARS-D-15-00079.pdf

Fluoroscopy-based tracking of femoral kinematics with statistical shape models

Abstract

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Bern Open Repository and Information System (BORIS)

Archivio istituzionale della ricerca - Politecnico di Milano