Statistical Study on 3D Geometric Variances of Hindfoot Bones in Patients with Ankle Osteoarthritis

Abstract

This paper presents a method to quantify the 3D alignment variances of hindfoot by Iterative Closest Point (ICP) and the principal component analysis (PCA). A general method is hard to calculate 3D geometric variances by reason of evaluating progression of the disorder from 2D X-ray measurement. The proposed method is able to consider 3D geometric variances using displacement fields calculated by the volume registration that compares with two 2D tomography images. The PCA for the bones alignment quantifies 3D alignment variances. The numerical results of PCA demonstrates the principal features of imaging posture, translation of fibula and rotation of navicular.