Projects:DTIRicianNoiseRemoval
DTI Rician Noise Removal
Back to NA-MIC_Collaborations, Utah Algorithms
Objective
Provide a software tool for clinicians that will filter diffusion tensor images using our Rician noise removal algorithm. The method should be completely automatic and give the user the option of reviewing the images to make sure that the results are acceptable.
Progress
Developed a Slicer module for our DT-MRI Rician noise removal during the 2007 Project Half Week. Also enhanced the method by including an automatic method for determining the noise sigma in the image. This makes the algorithm completely automatic, i.e., there are no free parameters. Also, since the module is implemented in Slicer, images can be reviewed directly in the Slicer program after applying the filter.
References
- Basu, S., Fletcher, P.T., Whitaker, R., "Rician Noise Removal in Diffusion Tensor MRI," presented at Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006, LNCS 4190, pp. 117--125. PDF of paper
Key Investigators
- Utah: Tom Fletcher, Saurav Basu, McKay Davis, Ross Whitaker
Links
4-block PPT from the Project Half Week (Jan 2007)
