Analyzing multi-fiber reconstruction in high angular resolution diffusion imaging using the tensor distribution function

Zhang, Liang, LeowAlex D., Zhu, Siwei, Chiang, Ming-chang, Barysheva, Marina, Toga, Arthur W., McMahon, Katie L., De Zubicaray, Greig I., Wright, Margie and Paul M. Thompson (2009). Analyzing multi-fiber reconstruction in high angular resolution diffusion imaging using the tensor distribution function. In: Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. ISBI '09. IEEE International Symposium on Biomedical Imaging, Boston, M.A. USA, (1402-1405). 28 June - 1 July 2009. doi:10.1109/ISBI.2009.5193328


Author Zhang, Liang
LeowAlex D.
Zhu, Siwei
Chiang, Ming-chang
Barysheva, Marina
Toga, Arthur W.
McMahon, Katie L.
De Zubicaray, Greig I.
Wright, Margie
Paul M. Thompson
Title of paper Analyzing multi-fiber reconstruction in high angular resolution diffusion imaging using the tensor distribution function
Conference name ISBI '09. IEEE International Symposium on Biomedical Imaging
Conference location Boston, M.A. USA
Conference dates 28 June - 1 July 2009
Proceedings title Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro   Check publisher's open access policy
Journal name 2009 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Vols 1 and 2   Check publisher's open access policy
Place of Publication United States of America
Publisher SPIE
Publication Year 2009
Sub-type Fully published paper
DOI 10.1109/ISBI.2009.5193328
Open Access Status Not Open Access
ISBN 9781424439317
ISSN 1945-7928
Volume 7623
Start page 1402
End page 1405
Total pages 4
Language eng
Abstract/Summary High-angular resolution diffusion imaging (HARDI) can reconstruct fiber pathways in the brain with extraordinary detail, identifying anatomical features and connections not seen with conventional MRI. HARDI overcomes several limitations of standard diffusion tensor imaging, which fails to model diffusion correctly in regions where fibers cross or mix. As HARDI can accurately resolve sharp signal peaks in angular space where fibers cross, we studied how many gradients are required in practice to compute accurate orientation density functions, to better understand the tradeoff between longer scanning times and more angular precision. We computed orientation density functions analytically from tensor distribution functions (TDFs) which model the HARDI signal at each point as a unit-mass probability density on the 6D manifold of symmetric positive definite tensors. In simulated two-fiber systems with varying Rician noise, we assessed how many diffusionsensitized gradients were sufficient to (1) accurately resolve the diffusion profile, and (2) measure the exponential isotropy (EI), a TDF-derived measure of fiber integrity that exploits the full multidirectional HARDI signal. At lower SNR, the reconstruction accuracy, measured using the Kullback-Leibler divergence, rapidly increased with additional gradients, and EI estimation accuracy plateaued at around 70 gradients.
Keyword High angular resolution diffusion imaging
Tensor distributed function
Multi-fiber construction
Kullback-Leibler divergence
Exponential isotrophy
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 7 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 09 Apr 2010, 02:51:32 EST by Sandrine Ducrot on behalf of Centre For Magnetic Resonance