A unified framework for estimating diffusion tensors of any order with symmetric positive-definite constraints

Category:

Description

Cartesian tensors of various orders have been employed for either modeling the diffusivity or the orientation distribution function in Diffusion-Weighted MRI datasets. In both cases, the estimated tensors have to be positive-definite since they model positive-valued functions. In this paper we present a novel unified framework for estimating positive-definite tensors of any order, in contrast to the existing methods in literature, which are either order-specific or fail to handle the positive-definite property. The proposed framework employs a homogeneous polynomial parametrization that covers the full space of any order positive-definite tensors and explicitly imposes the positive-definite constraint on the estimated tensors. We show that this parametrization leads to a linear system that is solved using the non-negative least squares technique. The framework is demonstrated using synthetic and real data from an excised rat hippocampus.

Additional information

Author

Barmpoutis, A., Vemuri,B. C.

Journal

Proceedings of the IEEE International Symposium on Biomedical Imaging

Month

April 14-17

Year

2010

Pages

1385-1388

DOI

https://dx.doi.org/10.1109/ISBI.2010.5490256

Citation

Citation

Barmpoutis, A. and Vemuri,B. C., , 2010. A unified framework for estimating diffusion tensors of any order with symmetric positive-definite constraints. Proceedings of the IEEE International Symposium on Biomedical Imaging, pp. 1385-1388. https://dx.doi.org/10.1109/ISBI.2010.5490256

BibTex

@article{digitalWorlds:156,
doi = {https://dx.doi.org/10.1109/ISBI.2010.5490256},
author = {Barmpoutis, A. and Vemuri,B. C.},
title = {A unified framework for estimating diffusion tensors of any order with symmetric positive-definite constraints},
journal = {Proceedings of the IEEE International Symposium on Biomedical Imaging},
month = {April 14-17},
year = {2010},
pages = {1385-1388}
}