In Magnetic Resonance Imaging (MRI), the presence of static magnetic field in-homogeneities introduces distortions and artifacts in the images. A coding/reconstruction algorithm for MRI, based on the assignment of different time varying frequencies (accelerations) to different spatial positions, has been tested on simulated noisy data. Results, demonstrating the method is not conditioned neither by the presence of static magnetic field in-homogeneity nor by the presence of noise, are reported. In particular, the results demonstrated that noise was not incremented and the signal was unaffected by blurring or distortions.

Characterisation of a Coding/Reconstruction Algorithm on MRI Simulated Noisy Data

PLACIDI, GIUSEPPE;
2009-01-01

Abstract

In Magnetic Resonance Imaging (MRI), the presence of static magnetic field in-homogeneities introduces distortions and artifacts in the images. A coding/reconstruction algorithm for MRI, based on the assignment of different time varying frequencies (accelerations) to different spatial positions, has been tested on simulated noisy data. Results, demonstrating the method is not conditioned neither by the presence of static magnetic field in-homogeneity nor by the presence of noise, are reported. In particular, the results demonstrated that noise was not incremented and the signal was unaffected by blurring or distortions.
2009
978-1-4244-3598-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/34581
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