Name
Abstract | ||
|---|---|---|
•The diffusion coefficient, controlling the averaging process has been made adaptive.•A statistical edge stopping function is applied to preserve the detail of MRI images.•A variance-based local noise estimator is used, influencing the diffusion process.•Our filtering technique preserves the anatomical details of the cranial nerve. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.bspc.2020.101901 | Biomedical Signal Processing and Control |
Keywords | DocType | Volume |
Magnetic resonance imaging (MRI),Rician noise,Denoising,Noise estimation,Adaptive diffusion-based MRI filtering (ADMF3D) | Journal | 59 |
ISSN | Citations | PageRank |
1746-8094 | 1 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pabitra Das | 1 | 1 | 0.34 |
| Chandrajit Pal | 2 | 14 | 3.34 |
| Amlan Chakrabarti | 3 | 161 | 48.06 |
| Amit Acharyya | 4 | 139 | 31.20 |
| Saumyajit Basu | 5 | 1 | 0.34 |