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. 2010 Jul 1;27(4):81-89.
doi: 10.1109/MSP.2010.936726.

MODEL-BASED IMAGE RECONSTRUCTION FOR MRI

Jeffrey A Fessler  1
Affiliations

MODEL-BASED IMAGE RECONSTRUCTION FOR MRI

Jeffrey A Fessler. IEEE Signal Process Mag. .

Abstract

Magnetic resonance imaging (MRI) is a sophisticated and versatile medical imaging modality. Traditionally, MR images are reconstructed from the raw measurements by a simple inverse 2D or 3D fast Fourier transform (FFT). However, there are a growing number of MRI applications where a simple inverse FFT is inadequate, e.g., due to non-Cartesian sampling patterns, non-Fourier physical effects, nonlinear magnetic fields, or deliberate under-sampling to reduce scan times. Such considerations have led to increasing interest in methods for model-based image reconstruction in MRI.

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Figures

Fig. 1
Fig. 1
Comparison of model-based image reconstruction with conventional methods.
See this image and copyright information in PMC

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