A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING.
Publication
, Journal Article
Tong, M; Kim, Y; Zhan, L; Sapiro, G; Lenglet, C; Mueller, BA; Thompson, PM; Vese, LA
Published in: Proceedings. IEEE International Symposium on Biomedical Imaging
January 2012
The presence of noise in High Angular Resolution Diffusion Imaging (HARDI) data of the brain can limit the accuracy with which fiber pathways of the brain can be extracted. In this work, we present a variational model to denoise HARDI data corrupted by Rician noise. Numerical experiments are performed on three types of data: 2D synthetic data, 3D diffusion-weighted Magnetic Resonance Imaging (DW-MRI) data of a hardware phantom containing synthetic fibers, and 3D real HARDI brain data. Experiments show that our model is effective for denoising HARDI-type data while preserving important aspects of the fiber pathways such as fractional anisotropy and the orientation distribution functions.
Duke Scholars
Published In
Proceedings. IEEE International Symposium on Biomedical Imaging
DOI
EISSN
1945-8452
ISSN
1945-7928
Publication Date
January 2012
Start / End Page
530 / 533
Citation
APA
Chicago
ICMJE
MLA
NLM
Tong, M., Kim, Y., Zhan, L., Sapiro, G., Lenglet, C., Mueller, B. A., … Vese, L. A. (2012). A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING. Proceedings. IEEE International Symposium on Biomedical Imaging, 530–533. https://doi.org/10.1109/isbi.2012.6235602
Tong, M., Y. Kim, L. Zhan, G. Sapiro, C. Lenglet, B. A. Mueller, P. M. Thompson, and L. A. Vese. “A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING.” Proceedings. IEEE International Symposium on Biomedical Imaging, January 2012, 530–33. https://doi.org/10.1109/isbi.2012.6235602.
Tong M, Kim Y, Zhan L, Sapiro G, Lenglet C, Mueller BA, et al. A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING. Proceedings IEEE International Symposium on Biomedical Imaging. 2012 Jan;530–3.
Tong, M., et al. “A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING.” Proceedings. IEEE International Symposium on Biomedical Imaging, Jan. 2012, pp. 530–33. Epmc, doi:10.1109/isbi.2012.6235602.
Tong M, Kim Y, Zhan L, Sapiro G, Lenglet C, Mueller BA, Thompson PM, Vese LA. A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING. Proceedings IEEE International Symposium on Biomedical Imaging. 2012 Jan;530–533.
Published In
Proceedings. IEEE International Symposium on Biomedical Imaging
DOI
EISSN
1945-8452
ISSN
1945-7928
Publication Date
January 2012
Start / End Page
530 / 533