A New Method For The 2D Motion Estimation From Cardiac Magnetic Resonance Images

Medical imaging becomes an important mean of heart disease diagnosis. Magneticresonance image is a kind of ideal imaging pattern for organism tissues. It has been used toanalyze cardiac motion for more than 20 years. There spring up mess of methods to cardiacMRI motion estimation. In this thesis, we do the research mainly on the cardiac MRI motionand a new method to the cardiac motion estimation is proposed. The main work of this thesisis as follows:(1) The theory and application of the steerable filter are summarized through the researchof a large number of literatures. The application of motion analysis of steerable filters hasimportant meaning. If the image sequence is analyzed in the frequency domain, its speed canbe represented by the orientation. These are the preconditions of analyzing the motion ofimages with steerable filters. But this method is just suit for simple translation movement. Thepaper puts forward a new method; we take a pixel in the image sequence as the center andwith its surrounding pixels to form a small image sequence. Convolve the image sequencewith steerable filters to analyze. The experimental results show that the improved method candescribe complex motion of images well.(2) A new method to the cardiac motion estimation is proposed through widely researchon the cardiac motion methods and summarize of the advantages and disadvantages of severalclassical methods. The method is to describe the cardiac 2D motion using the steerable filter.The motion of heart is complex, so in the paper we use the improved method to describe themotion of cardiac MRI, namely, we calculate the velocity of motion of each pixel one by one.The experimental results show that we can get a good result when we use the steerable filtersto the cardiac motion analysis.