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Correcting the Side Effects of ADC Filtering in MR Image Reconstruction
by
Weiss, Pierre
, Lazarus, Carole
, März, Maximilian
in
Algorithms
/ Analog to digital conversion
/ Analog to digital converters
/ Applications of Mathematics
/ Computer Science
/ Computer simulation
/ Digital imaging
/ Engineering Sciences
/ Image filters
/ Image Processing and Computer Vision
/ Image quality
/ Image reconstruction
/ Image resolution
/ Magnetic resonance imaging
/ Mathematical Methods in Physics
/ Medical Imaging
/ Numerical analysis
/ Sampling
/ Side effects
/ Signal and Image Processing
/ Signal,Image and Speech Processing
2020
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Correcting the Side Effects of ADC Filtering in MR Image Reconstruction
by
Weiss, Pierre
, Lazarus, Carole
, März, Maximilian
in
Algorithms
/ Analog to digital conversion
/ Analog to digital converters
/ Applications of Mathematics
/ Computer Science
/ Computer simulation
/ Digital imaging
/ Engineering Sciences
/ Image filters
/ Image Processing and Computer Vision
/ Image quality
/ Image reconstruction
/ Image resolution
/ Magnetic resonance imaging
/ Mathematical Methods in Physics
/ Medical Imaging
/ Numerical analysis
/ Sampling
/ Side effects
/ Signal and Image Processing
/ Signal,Image and Speech Processing
2020
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Do you wish to request the book?
Correcting the Side Effects of ADC Filtering in MR Image Reconstruction
by
Weiss, Pierre
, Lazarus, Carole
, März, Maximilian
in
Algorithms
/ Analog to digital conversion
/ Analog to digital converters
/ Applications of Mathematics
/ Computer Science
/ Computer simulation
/ Digital imaging
/ Engineering Sciences
/ Image filters
/ Image Processing and Computer Vision
/ Image quality
/ Image reconstruction
/ Image resolution
/ Magnetic resonance imaging
/ Mathematical Methods in Physics
/ Medical Imaging
/ Numerical analysis
/ Sampling
/ Side effects
/ Signal and Image Processing
/ Signal,Image and Speech Processing
2020
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Correcting the Side Effects of ADC Filtering in MR Image Reconstruction
Journal Article
Correcting the Side Effects of ADC Filtering in MR Image Reconstruction
2020
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Overview
This work investigates the role of the filters implemented on analog-to-digital converters for the reconstruction of magnetic resonance images. We analyze the effects of these filters both from a theoretical and an experimental point of view and demonstrate how it may lead to severe degradation of the reconstructed images when the distance between consecutive samples is larger than Shannon’s limit. Based on these findings, we propose a mathematical model and a numerical algorithm that allow to mitigate such filtering effects both for linear and nonlinear reconstructions. Experiments on simulated and real data on a 7 Tesla scanner show that the proposed ideas allow to significantly improve the overall image quality. These findings are particularly relevant for high resolution imaging and for recent sampling schemes saturating the maximum gradient amplitude. They also open new challenges in sampling theory.
Publisher
Springer US,Springer Nature B.V,Springer Verlag
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