Surface Analysis from Video Volumes for Fetal Alcohol Syndrome Classification

Abstract

3D shape reconstruction is often a necessary step to obtain geometric information from multiple 2D images for shape analysis. In this paper, a new shape analysis technique is proposed using surface features derived directly from the video volume of 2D images. It avoids the explicit 3D reconstruction process, which is often not very robust and accurate for surface feature analysis. Video volumes are created from stacks of 2D images taken from a pre-determined set of views. Surface features are extracted from the video volumes for shape analysis. This technique is applied to a medical diagnosis application for Fetal Alcohol Syndrome (FAS) using images of mouse embryos.