LV-segmentation and rotation analysis based on MRI data

Heart diseases often imply cardiac motion anomalies, so a number of heart diseases can be diagnosed by analysing cardiac volume and motion during one cardiac cycle. We propose a method for extracting complex left ventricle motion which consists of different components as a sinking motion caused by respiration, contraction and reverse rotation at cardiac basis and apex. The reverse rotation is determined by following landmarks over one cardiac cycle. An algorithm to detect automatically landmarks in CT and MRI data for complete heart motion analysis is the long term objective.