Compressed sensing for better MRI image reconstruction / Abdulrahman Abdulaziz Sharaf ; Supervised Amr Abdurrahman Sharawi , Samir Mohamed Yusuf Badawy
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TextLanguage: English Publication details: Cairo : Abdulrahman Abdulaziz Mohamed Mohamed Sharaf , 2012Description: 77 P. : charts , facsimiles ; 30cmOther title: - استخدام الاحساس المنضغط لاعادة بناء أفضل لصور الرنين المغناطيسي [Added title page title]
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Thesis
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.03.M.Sc.2012.Ab.C (Browse shelf(Opens below)) | Not for loan | 01010110059350000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.03.M.Sc.2012.Ab.C (Browse shelf(Opens below)) | 59350.CD | Not for loan | 01020110059350000 |
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Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
Partial 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
Issued also as CD
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