Dissertation
Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device

Study about Methods of Data Processing on Magnetic Resonance Angiography

Author HuCuiHong
Tutor XieHaiBin
School East China Normal University
Course Radio Physics
Keywords magnetic resonance angiography (MRA) maximal intensity projection (MIP) shear warp factorization low threshold
CLC TP391.41
Type Master's thesis
Year 2010
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With the development and progress of magnetic resonance imaging, it has been widely applied in clinical application. And magnetic resonance angiography (MRA) has aroused great interest. It is a technology to show the signal characteristics of vessels and blood flow. It was firstly reported and applied in clinical application by Edelman in 1985. At present, compared with conventional angiography, MRA is the only non-invasive, no radiation, no need to rely on the angiography contrast agents and plays an important role in the diagnosis of vascular disease.On the one hand, people go in for acquisition high-quality MRA images, on the other hand, they work hard to study and improve the image post-processing techniques. For magnetic resonance angiography, maximum intensity projection algorithm is the most common post-processing technology. The conventional maximum intensity projection algorithm which is based on ray casting has some obvious shortcomings. Taking these shortcomings into account, this paper has adopted maximum intensity projection algorithm that is based on shear warp factorization.After implementing this algorithm by using C++programming and optimizing it with the low threshold, I integrated the algorithm into commercial software of low-field MR equipment which belongs to the company called CMR. Then I carried out MRA experiments on the equipment, and results show that:the algorithm works well and meets clinical applications of the low-field MR equipment. This paper mainly studied as follows.(1) Describing the principles of magnetic resonance angiography and the associated image post-processing techniques;(2) Discussing the mathematical principle of shear warp factorization;(3) Implementing and optimizing maximum intensity projection algorithm which is based on shear warp factorization by using C++programming;(4) Integrating the algorithm into commercial software of Low-field magnetic resonance equipment which belongs to the CMR Company, and doing experiments study and analyzing and discussing the experimental results.

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