Back to Search
Start Over
A simple method for rectified noise floor suppression: Phase-corrected real data reconstruction with application to diffusion-weighted imaging.
- Source :
-
Magnetic resonance in medicine [Magn Reson Med] 2010 Aug; Vol. 64 (2), pp. 418-29. - Publication Year :
- 2010
-
Abstract
- Diffusion-weighted MRI is an intrinsically low signal-to-noise ratio application due to the application of diffusion-weighting gradients and the consequent longer echo times. The signal-to-noise ratio worsens with increasing image resolution and diffusion imaging methods that use multiple and higher b-values. At low signal-to-noise ratios, standard magnitude reconstructed diffusion-weighted images are confounded by the existence of a rectified noise floor, producing poor estimates of diffusion metrics. Herein, we present a simple method of rectified noise floor suppression that involves phase correction of the real data. This approach was evaluated for diffusion-weighted imaging data, obtained from ethanol and water phantoms and the brain of a healthy volunteer. The parameter fits from monoexponential, biexponential, and stretched-exponential diffusion models were computed using phase-corrected real data and magnitude data. The results demonstrate that this newly developed simple approach of using phase-corrected real images acts to reduce or even suppress the confounding effects of a rectified noise floor, thereby producing more accurate estimates of diffusion parameters.
- Subjects :
- Diffusion Magnetic Resonance Imaging instrumentation
Humans
Phantoms, Imaging
Reproducibility of Results
Sensitivity and Specificity
Algorithms
Artifacts
Brain anatomy & histology
Diffusion Magnetic Resonance Imaging methods
Image Enhancement methods
Image Interpretation, Computer-Assisted methods
Subjects
Details
- Language :
- English
- ISSN :
- 1522-2594
- Volume :
- 64
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Magnetic resonance in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 20665786
- Full Text :
- https://doi.org/10.1002/mrm.22407