【作者】 顾东盼；

【导师】 王元全；

【作者基本信息】 天津理工大学 ， 信号与信息处理， 2012， 硕士

【摘要】 医学成像术成为心脏疾病诊断的重要手段，核磁共振成像(Magnetic ResonanceImage)是一种用于肌体组织运动分析的理想成像模式，应用于心脏的运动分析已有20多年的历史。基于核磁共振成像的心脏运动分析方法大量涌现，论文主要对采用核磁共振成像的心脏运动进行研究，并提出一种用于心脏运动分析的新方法。主要成果有：(1)通过对大量有关可控滤波器文献的阅读和研究，总结了可控滤波器的理论及应用。可控滤波器在图像运动分析方面的应用具有重要意义，将图像序列在频域中进行频谱分析，其运动速度可用角度表示，这是使用可控滤波器分析图像运动的理论基础，但是仅适用于简单的平移运动。本文提出改进方法，以图像序列中一个像素点为中心，和它周围较小邻域的像素点组成小块图像序列，将该图像序列与可控滤波器卷积进行分析。实验结果表明，改进的方法能够较好的描述复杂的图像运动。(2)通过对大量MRI心脏运动分析方法的研究，以及对几种经典方法的优点和弊端的总结，提出了一种用于MRI心脏运动分析的新方法，该方法利用可控滤波器描述心脏图像序列的2D运动。由于心脏运动的复杂性，本文利用可控滤波器改进的运动分析方法求取MRI心脏的运动矢量。实验结果表明，可控滤波器能够较好的描述心脏的2D运动。更多还原

【Abstract】 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.更多还原