Title :
PDE denoising of MR diffusion tensor imaging data
Author :
Chen, Bin ; Hsu, Edward
Author_Institution :
Biomedical Eng., Duke Univ., Durham, NC, USA
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.
Keywords :
biodiffusion; biological tissues; biomedical MRI; brain; image denoising; medical image processing; partial differential equations; MR diffusion tensor imaging tracktography; anatomical information driven filtering; diffusion filter; diffusion tensor orientation; diffusion weighted images; directional unit vector field regulation; image denoising; improved brain white matter fiber tracking results; in situ mouse brain; local fiber direction; partial differential equation; tissue; Brain modeling; Constraint theory; Diffusion tensor imaging; Information filtering; Information filters; Mice; Noise level; Noise reduction; Signal to noise ratio; Tensile stress;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
DOI :
10.1109/ISBI.2004.1398719