A statistical framework to characterise microstructure in high angular resolution diffusion imaging
- Resource Type
- Conference
- Authors
- Olhede, Sofia; Whitcher, Brandon
- Source
- 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on. :899-902 May, 2008
- Subject
- Bioengineering
Computing and Processing
Signal Processing and Analysis
Microstructure
Image resolution
High-resolution imaging
Wavelet coefficients
Smoothing methods
Higher order statistics
Sampling methods
Signal resolution
Bandwidth
Anisotropic magnetoresistance
Anisotropy
HARDI measurements
smoothing
wavelets
- Language
- ISSN
- 1945-7928
1945-8452
High angular resolution diffusion imaging (HARDI) is an MR acquisition technique that has been used to identify and estimate multi-modal structure in white matter. We introduce a multiresolution estimator of the diffusion density in q-space based on a wavelet lifting scheme for HARDI data. The proposed technique avoids imposing isotropic smoothing with a fixed bandwidth that is a common feature in other higher-order methods. Summary statistics for the properties of the diffusion density are derived entirely in q-space, based on great circle and perpendicular great circle statistics. A framework is developed to characterise structural features of the diffusion using these statistics.