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Denoising diffusion-weighted magnitude MR images using rank and edge constraints
| Content Provider | Scilit |
|---|---|
| Author | Lam, Fan Babacan, S. Derin Haldar, Justin P. Weiner, Michael W. Schuff, Norbert Liang, Zhi-Pei |
| Copyright Year | 2013 |
| Description | Journal: Magnetic Resonance in Medicine To improve signal-to-noise ratio for diffusion-weighted magnetic resonance images. A new method is proposed for denoising diffusion-weighted magnitude images. The proposed method formulates the denoising problem as an maximum a posteriori} estimation problem based on Rician/noncentral χ likelihood models, incorporating an edge prior and a low-rank model. The resulting optimization problem is solved efficiently using a half-quadratic method with an alternating minimization scheme. The performance of the proposed method has been validated using simulated and experimental data. Diffusion-weighted images and noisy data were simulated based on the diffusion tensor imaging model and Rician/noncentral χ distributions. The simulation study (with known gold standard) shows substantial improvements in single-to-noise ratio and diffusion tensor estimation after denoising. In vivo diffusion imaging data at different b-values were acquired. Based on the experimental data, qualitative improvement in image quality and quantitative improvement in diffusion tensor estimation were demonstrated. Additionally, the proposed method is shown to outperform one of the state-of-the-art nonlocal means-based denoising algorithms, both qualitatively and quantitatively. The single-to-noise ratio of diffusion-weighted images can be effectively improved with rank and edge constraints, resulting in an improvement in diffusion parameter estimation accuracy. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3796128/pdf |
| Ending Page | 1284 |
| Page Count | 13 |
| Starting Page | 1272 |
| e-ISSN | 15222594 |
| DOI | 10.1002/mrm.24728 |
| Journal | Magnetic Resonance in Medicine |
| Issue Number | 3 |
| Volume Number | 71 |
| Language | English |
| Publisher | Wiley-Blackwell |
| Publisher Date | 2013-04-08 |
| Access Restriction | Open |
| Subject Keyword | Journal: Magnetic Resonance in Medicine Radiology, Nuclear Medicine and Imaging Diffusion-weighted Imaging Diffusion Tensor Imaging Rician Distribution Noncentral Χ Distribution Low-rank Approximation Edge Constraints |
| Content Type | Text |
| Resource Type | Article |
