2009 Blair Bohannan: Difference between revisions

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This page accompanies a MATLAB tutorial which simulates some artifacts that might be found in MR images. Their causes, and in some cases corrections, are demonstrated in the code. One- and two-dimensional examples are provided.
This page accompanies a MATLAB tutorial which simulates some artifacts that might be found in MR images. Their causes, and in some cases corrections, are demonstrated in the code. One- and two-dimensional examples are provided.
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Image artifacts in this tutorial include DC Offset, Quadrature Ghosting, RF Noise, Gradient, and Frequency-Sampling Jitter. Information on the first four topics can be found in [http://www.cis.rit.edu/htbooks/mri/inside.htm Hornak, Joseph P. ''The Basics of MRI''], Chapter 11.
Image artifacts in this tutorial include DC Offset, Quadrature Ghosting, RF Noise, Gradient, and Frequency-Sampling Jitter. Information on the first four topics can be found in [http://www.cis.rit.edu/htbooks/mri/inside.htm Hornak, Joseph P. ''The Basics of MRI''], Chapter 11. More information on the mathematical derivations can be found in [https://ccrma.stanford.edu/~jos/mdft/ Smith, Julius O. ''Mathematics of the Discrete Fourier Transform (DFT)''].

Revision as of 07:39, 9 December 2009

Back to Psych 204 Projects 2009

Project Title - MATLAB image processing tutorial

This page accompanies a MATLAB tutorial which simulates some artifacts that might be found in MR images. Their causes, and in some cases corrections, are demonstrated in the code. One- and two-dimensional examples are provided.
Image artifacts in this tutorial include DC Offset, Quadrature Ghosting, RF Noise, Gradient, and Frequency-Sampling Jitter. Information on the first four topics can be found in Hornak, Joseph P. The Basics of MRI, Chapter 11. More information on the mathematical derivations can be found in Smith, Julius O. Mathematics of the Discrete Fourier Transform (DFT).