Atlas-Based Segmentation of Organs at Risk in Radiotherapy in Head MRIs by Means of a Novel Active Contour Framework

摘要

Automatic segmentation of organs at risk in head Magnetic Resonance Images (MRI) is a challenging task in medical image analysis. This operation is fundamental for radiotherapy treatment planning: accurate delineation of critical structures allow calibrating the radiation beam in order to hit tumour cells and preserve sane tissues, consuming a time of much lower than a radiation oncologist. In this paper we analyze the properties of head MRI and of their OARs and propose an algorithm that exploits the knowledge implied in an atlas, represented by a labelled medical image, and uses a modified version of Gradient Vector Flow Snake endowed with a parameters automatic tuning mechanism system based on Fourier Descriptors. The comparison of this method with the other traditional algorithms based on active contours showed a remarkable increase of performance.