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A robust method for automatic identification of femoral landmarks, axes, planes and bone coordinate systems using surface models
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A robust method for automatic identification of femoral landmarks, axes, planes and bone coordinate systems using surface models
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Journal Article
A robust method for automatic identification of femoral landmarks, axes, planes and bone coordinate systems using surface models
2020
Overview
The identification of femoral landmarks is a common procedure in multiple academic fields. Femoral bone coordinate systems are used particularly in orthopedics and biomechanics, and are defined by landmarks, axes and planes. A fully automatic detection overcomes the drawbacks of a labor-intensive manual identification. In this paper, a new automatic atlas- and a priori knowledge-based approach that processes femoral surface models, called the A&A method, was evaluated. The A&A method is divided in two stages. Firstly, a single atlas-based registration maps landmarks and areas from a template surface to the subject. In the second stage, landmarks, axes and planes that are used to construct several femoral bone coordinate systems are refined using a priori knowledge. Three common femoral coordinate systems are defined by the landmarks detected. The A&A method proved to be very robust against a variation of the spatial alignment of the surface models. The results of the A&A method and a manual identification were compared. No significant rotational differences existed for the bone coordinate system recommended by the International Society of Biomechanics. Minor significant differences of maximally 0.5° were observed for the two other coordinate systems. This might be clinically irrelevant, depending on the context of use and should, therefore, be evaluated by the potential user regarding the specific application. The entire source code of the A&A method and the data used in the study is open source and can be accessed via
https://github.com/RWTHmediTEC/FemoralCoordinateSystem
.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ Anatomic Landmarks - anatomy & histology
/ Anatomic Landmarks - diagnostic imaging
/ Anatomic Landmarks - physiology
/ Cadaver
/ Female
/ Femur
/ Humanities and Social Sciences
/ Humans
/ Image Processing, Computer-Assisted - methods
/ Male
/ Orthopedic Procedures - methods
/ Science
/ Software
