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2D image reconstruction in the stochastic MR-simulation with gridding and back projection method

Stochastic magnetic resonance imaging (MRI) offers the possibility of significant power reduction. One important aspect of the MRI is two-dimensional image reconstruction. It is therefore very useful to evaluate 2D image reconstruction of stochastic imaging in a computer simulation.

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Bibliographic Details
Main Author: Sediono, Wahju
Format: Article
Language:English
Published: IECI 2000
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/3568/1/04.cv_sed.paper.2000.jurnal_ieci.pdf
http://irep.iium.edu.my/3568/
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spelling my.iium.irep.35682012-06-07T00:57:58Z http://irep.iium.edu.my/3568/ 2D image reconstruction in the stochastic MR-simulation with gridding and back projection method Sediono, Wahju TK7885 Computer engineering Stochastic magnetic resonance imaging (MRI) offers the possibility of significant power reduction. One important aspect of the MRI is two-dimensional image reconstruction. It is therefore very useful to evaluate 2D image reconstruction of stochastic imaging in a computer simulation. IECI 2000 Article REM application/pdf en http://irep.iium.edu.my/3568/1/04.cv_sed.paper.2000.jurnal_ieci.pdf Sediono, Wahju (2000) 2D image reconstruction in the stochastic MR-simulation with gridding and back projection method. Jurnal IECI, 2 (2). pp. 35-38. ISSN 1411-2361
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK7885 Computer engineering
spellingShingle TK7885 Computer engineering
Sediono, Wahju
2D image reconstruction in the stochastic MR-simulation with gridding and back projection method
description Stochastic magnetic resonance imaging (MRI) offers the possibility of significant power reduction. One important aspect of the MRI is two-dimensional image reconstruction. It is therefore very useful to evaluate 2D image reconstruction of stochastic imaging in a computer simulation.
format Article
author Sediono, Wahju
author_facet Sediono, Wahju
author_sort Sediono, Wahju
title 2D image reconstruction in the stochastic MR-simulation with gridding and back projection method
title_short 2D image reconstruction in the stochastic MR-simulation with gridding and back projection method
title_full 2D image reconstruction in the stochastic MR-simulation with gridding and back projection method
title_fullStr 2D image reconstruction in the stochastic MR-simulation with gridding and back projection method
title_full_unstemmed 2D image reconstruction in the stochastic MR-simulation with gridding and back projection method
title_sort 2d image reconstruction in the stochastic mr-simulation with gridding and back projection method
publisher IECI
publishDate 2000
url http://irep.iium.edu.my/3568/1/04.cv_sed.paper.2000.jurnal_ieci.pdf
http://irep.iium.edu.my/3568/
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score 13.160551

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