Author(s)

Z.-Q. Lui, T. Austin, C.D.L. Thomas & J.G. Clement

Abstract

It is known that the cross section of human femoral bones can pro- vide a link between bone structure and age, and information about possible bone diseases. Traditional approaches to bone cross section analysis is primarily carried out manually, which are slow and prone to human errors. In this paper we present a new method using dig- ital image processing techniques for quantitative analysis of femoral bones. We demonstrate that such a system is able to extract var

Keywords