Edge Tracking of subjective contours in Biomedical Imaging

Abstract

The paper describes a method for computer-assisted edge tracking and following by local profile matching. It is used primarily to integrate and support manual selection when complex contours have to be found and identified. Such a requirement is quite common in biomedical applications, including a wide spectrum of image modalities, from histological samples to MRI images. The referred example takes part in the analysis of in vitro receptor auto-radiographic data, for the architectonic characterization of transmitter receptors within a defined cortical region. The practical validation we provide of the proposed tracking model reveals that it is a very promising approach, enabling accurate and fast processing of multiple images.