header
Local cover image
Local cover image
Image from OpenLibrary

Compressed sensing for better MRI image reconstruction / Abdulrahman Abdulaziz Sharaf ; Supervised Amr Abdurrahman Sharawi , Samir Mohamed Yusuf Badawy

By: Contributor(s): Material type: TextTextLanguage: 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]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: 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
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis 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
CD - Rom CD - Rom 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

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

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image