Reza Aghaeizadeh Zoroofi
233729 S1998||||||||||||||||||||||||ENG||| 15540 Studies on MRI Artifact Cancellation/Reza Aghaeizadeh Zoroofi; Supervised by: Shinichi Tamura. DISS PH. D Aghaeizadeh Zoroofi, Reza eng 1 1 1998 9766779 1 1 233729 2924925 9766779 a 1 1 00233729 233729 9766780 90 2 233729 2924926 9766780 a 1 90 15540 233729 9766790 100 12 233729 Aghaeizadeh Zoroofi, Reza 9766782 245 4 233729 7119200 9766782 a 1 245 Studies on MRI Artifact Cancellation/ 233729 7119201 9766782 c 2 245 Reza Aghaeizadeh Zoroofi; Supervised by: Shinichi Tamura. 233729 9766789 300 11 233729 2924928 9766789 a 1 300 132 P. 233729 9766783 502 5 233729 1189278 9766783 a 1 502 THESES (PH. D) -- Dsaka University, Graduate School of Medicine, 1998 233729 9766788 520 10 233729 1189279 9766788 a 1 520 This thesis is devoted to the studies on MRI artifact cancellation. The magnetic resonace imaging (MRI) scannerch have presently been equipped with several fast imaging techniques to make the resultant MR image as less as sensitive to patient motion artifact. The main drawback of the available fast imaging tecniqued is their lower-quality output-image [lower signal to nois ratio (SNR) and contrast to noise ratio (CNR)] compared with that of a spin echo (SE) technique. This is why that the conventional SE imaging in spite of a longer data acquistion is still in a wide usage in the common clinical practice. The goal of this research was to develop novel, substanitial and feasible computer post-processing algorithms for suppressing the MRI artifact of a SE technique arising from patient unknown motion. Modeling the problem, estmation of motion unknown parameters and recontstruction of the corresponding MRI artifact data were the main achievements of this work. In Chapter 1, atechinque is proposed to correct MRI artifict caused by translational motion in the imaging plane. In chapter 2, a post-processing technique is develope to reduce MRI artifact arising from rotational mottion in the imaging plane. In Chapter 3, we expnad the algorithms of Chapters 1 and 2 and propose feasible techniques for cancellation of MRI artifact arising from a 2-D rigid (translational + rotational) motion. 233729 9766785 653 7 233729 Rigid motion Rigid motion 9766786 653 8 233729 Planor respiratory motion Planor respiratory motion 9766787 653 9 233729 MRI artifact cancellation MRI artifact cancellation 9766784 700 6 233729 Tamura, Shinichi 2924927 9766784 e 1 700 Supervisor 233729 9766781 710 3 233729 Dsaka UniversityGraduate School of Medicine
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Reza A. Zoroofi received the B.S. degree in electronic engineering from Amirkabir University, Iran, the M.S. degree in telecommunication engineering from Khajeh Nassir University, Iran, and the Ph.D. degree in medical science from Osaka University, Osaka, Japan, in 1989, 1991, and 1998, respectively.
From January to March 1997, he was a NEDO Researcher at Mechanical Engineering Laboratory, Ministry of International Trade and Industry, Tsukuba, Japan. From April 1997 to March 1998, he was a Research Fellow at the National Cardio-Vascular Center Research Institute, Osaka. From April 1998 to March 2000, he was a JSPS Postdoctoral Fellow at Division of Functional Diagnostic Imaging, Osaka University Medical School. In April 2000, he joined the Department of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Iran, where he is currently an Assistant Professor. His research activities include works in the fields of medical image processing and medical informatics.
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Biomedical Engineering Advances (2024): 100112
EXPERT SYSTEMS WITH APPLICATIONSno. Part B (2024): 121576-121576
Journal of Imaging Informatics in Medicineno. 2 (2024): 1-16
2021 26th International Computer Conference, Computer Society of Iran (CSICC) (2021): 1-6
طب انتظامیno. 3 (2021)
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arXiv (Cornell University) (2020)
arXiv (Cornell University) (2020)
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#Papers: 104
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