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003 EG-GiCUC
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008 130116s2012 ua dh f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.13.03.M.Sc.2012.Ab.C
100 0 _aAbdulrahman Abdulaziz Mohamed Mohamed Sharaf
245 1 0 _aCompressed sensing for better MRI image reconstruction /
_cAbdulrahman Abdulaziz Sharaf ; Supervised Amr Abdurrahman Sharawi , Samir Mohamed Yusuf Badawy
246 1 5 _aاستخدام الاحساس المنضغط لاعادة بناء أفضل لصور الرنين المغناطيسي
260 _aCairo :
_bAbdulrahman Abdulaziz Mohamed Mohamed Sharaf ,
_c2012
300 _a77 P. :
_bcharts , facsimiles ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
520 _aPartial fourier analysis is an old technique used to reconstruct the MRI image by acquiring only 50% of the image and estimate the other 50% by symmetry of the fourier domain. This thesis introduces the combination between the well-known partial fourier (Margosian and zero filling) algorithm and compressed sensing to determine the number of required fourier coefficients; we used their power distribution in the image for every case to show the efficiency and the quality of reconstructed MRI image
530 _aIssued also as CD
653 4 _aCompressed sensing
653 4 _aMRI
653 4 _aPartial fourier
700 0 _aAmr Abdurrahman Sharawi ,
_eSupervisor
700 0 _aSamir Mohamed Yusuf Badawy ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aSamia
_eCataloger
942 _2ddc
_cTH
999 _c41127
_d41127