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dc.contributor.author정소해-
dc.creator정소해-
dc.date.accessioned2016-08-25T10:08:07Z-
dc.date.available2016-08-25T10:08:07Z-
dc.date.issued2000-
dc.identifier.otherOAK-000000052315-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/184697-
dc.identifier.urihttp://dcollection.ewha.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000052315-
dc.description.abstractWe consider two reconstructed methods, the Fourier transform and the Radon transform, in Nuclear Magnetic Resonance. The Fourier transform method takes long to acquire data. Therefore, people have tried to develop new tools and the Radon transform has been one of the most widespread tools of all. The algorithm works in the Radon domain where an image point corresponds to a sinogram and uses backprojection which means summing along a sinogram. Although the algorithm has lower quality of images and more computing-time than the Fourier algorithm, it has many adventages to improve the quality of image.-
dc.description.tableofcontents1 Introduction 1 2 The basic of nuclear magnetic resonance(NMR) 3 2.1 Introduction 3 2.2 Principles of NMR 4 2.2.1 Magnetic properties of nucleus 4 2.2.2 Pulse sequence 5 2.2.3 K-space 11 3 The Fourier Transform 13 3.1 Introduction to the Fourier Transform in NMR 13 3.2 Result of the image reconstruction using Fourier transform 15 4 Radon Transform 16 4.1 Sinogram 16 4.2 Introduction to the Radon transform 19 4.3 The Projection Theorem 20 4.4 The inverse Radon transform 23 4.5 The Algorithm for the inverse radon transform 26 4.6 Result of Image Reconstruction by the inverse Radon transform method 30 5 Conclusions 31 References 36-
dc.formatapplication/pdf-
dc.format.extent1064889 bytes-
dc.languageeng-
dc.publisherGraduate School of Ewha Womans University-
dc.titleNumerical methods for image reconstructionin NMR-
dc.typeMaster's Thesis-
dc.format.pageiii, 36 p.-
dc.identifier.thesisdegreeMaster-
dc.identifier.major대학원 수학과-
dc.date.awarded2000. 8-
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