Optimization of the Number of Iterations of the Total Variation Algorithm according to the Rician Noise Level of Magnetic Resonance Images
Author:
Publisher
Korean Society of MR Technology
Subject
General Materials Science
Reference25 articles.
1. Park, Minji, Seong-Hyeon Kang, and Youngjin Lee. “Optimization of noise power spectrum density of block-matching and 3D filtering algorithm in simulated magnetic resonance imaging using MRiLab.” Journal of the Korean Society of MR Technology 32.2 (2022): 35-44.
2. Shankar, Lalitha, and Walter Montanera. “Computed tomography versus magnetic resonance imaging and three-dimensional applications.” The Medical Clinics of North America 75.6 (1991): 1355-1366.
3. Bernstein, M. A., David M. Thomasson, and William H. Perman. “Improved detectability in low signal-to-noise ratio magnetic resonance images by means of a phasecorrected real reconstruction.” Medical Physics 16.5 (1989): 813-817.
4. Gudbjartsson, Hákon, and Samuel Patz. “The Rician distribution of noisy MRI data.” Magnetic Resonance in Medicine 34.6 (1995): 910-914.
5. Pankaj, Divya, D. Govind, and K. A. Narayanankutty. “A novel method for removing Rician noise from MRI based on variational mode decomposition.” Biomedical Signal Processing and Control 69 (2021): 102737.
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