Name
Abstract | ||
|---|---|---|
In diffusion tensor imaging tracktography, the noise level in diffusion weighted images has direct impact on the accuracy of diffusion tensor orientation which is usually used as local fiber direction. Therefore, removing noise becomes one way to improve the signal to noise ratio without increasing the acquisition time. We demonstrate that vector based diffusion filter with norm constraint has rigid theoretical background and better denoising result on directional unit vector field regulation. A tissue property integrated framework for diffusion filter is also introduced for anatomical information driven filtering. The applications in simulated data and in situ mouse brain data reveal improved brain white matter fiber tracking results. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ISBI.2004.1398719 | ISBI |
Keywords | Field | DocType |
diffusion filter,in situ mouse brain,mr diffusion tensor imaging tracktography,biodiffusion,local fiber direction,diffusion weighted images,image denoising,diffusion tensor orientation,partial differential equation,directional unit vector field regulation,tissue,biomedical mri,improved brain white matter fiber tracking results,brain,partial differential equations,biological tissues,medical image processing,anatomical information driven filtering,vector field,signal to noise ratio,anisotropic diffusion,diffusion tensor imaging,noise reduction,tensile stress,diffusion tensor | Anisotropic diffusion,Noise reduction,Computer vision,Diffusion MRI,Computer science,Signal-to-noise ratio,Filter (signal processing),Diffusion filter,Artificial intelligence,Partial differential equation,Unit vector | Conference |
ISBN | Citations | PageRank |
0-7803-8388-5 | 2 | 0.43 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Chen | 1 | 13 | 1.73 |
| Edward Hsu | 2 | 2 | 0.43 |