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7T multi-shell hybrid diffusion imaging (HYDI) for mapping brain connectivity in mice

Daianu, Madelaine and Jahanshad, Neda and Villalon-Reina, Julio E. and Prasad, Gautam and Jacobs, Russell E. and Barnes, Samuel and Zlokovic, Berislav V. and Montagne, Axel and Thompson, Paul M. (2015) 7T multi-shell hybrid diffusion imaging (HYDI) for mapping brain connectivity in mice. In: Medical Imaging 2015: Image Processing. Proceedings of SPIE. No.9413. Society of Photo-Optical Instrumentation Engineers , Bellingham, WA, Art. No. 941309. ISBN 978-1-62841-503-2. PMCID PMC4386863. https://resolver.caltech.edu/CaltechAUTHORS:20150629-085143590

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Abstract

Diffusion weighted imaging (DWI) is widely used to study microstructural characteristics of the brain. High angular resolution diffusion imaging (HARDI) samples diffusivity at a large number of spherical angles, to better resolve neural fibers that mix or cross. Here, we implemented a framework for advanced mathematical analysis of mouse 5-shell HARDI (b=1000, 3000, 4000, 8000, 12000 s/mm^2), also known as hybrid diffusion imaging (HYDI). Using q-ball imaging (QBI) at ultra-high field strength (7 Tesla), we computed diffusion and fiber orientation distribution functions (dODF, fODF) to better detect crossing fibers. We also computed a quantitative anisotropy (QA) index, and deterministic tractography, from the peak orientation of the fODFs. We found that the signal to noise ratio (SNR) of the QA was significantly higher in single and multi-shell reconstructed data at the lower b-values (b=1000, 3000, 4000 s/mm^2) than at higher b-values (b=8000, 12000 s/mm2); the b=1000 s/mm^2 shell increased the SNR of the QA in all multi-shell reconstructions, but when used alone or in <5-shell reconstruction, it led to higher angular error for the major fibers, compared to 5-shell HYDI. Multi-shell data reconstructed major fibers with less error than single-shell data, and was most successful at reducing the angular error when the lowest shell was excluded (b=1000 s/mm2). Overall, high-resolution connectivity mapping with 7T HYDI offers great potential for understanding unresolved changes in mouse models of brain disease.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1117/12.2081491 DOIArticle
http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2211386PublisherArticle
ORCID:
AuthorORCID
Jacobs, Russell E.0000-0002-1382-8486
Barnes, Samuel0000-0002-1065-8442
Zlokovic, Berislav V.0000-0002-6802-8232
Additional Information:© 2015 SPIE.
Subject Keywords:multi-shell, HARDI, HYDI, QBI, fiber ODF, quantitative anisotropy, tractography, mouse
Series Name:Proceedings of SPIE
Issue or Number:9413
PubMed Central ID:PMC4386863
Record Number:CaltechAUTHORS:20150629-085143590
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150629-085143590
Official Citation:Madelaine Daianu ; Neda Jahanshad ; Julio E. Villalon-Reina ; Gautam Prasad ; Russell E. Jacobs ; Samuel Barnes ; Berislav V. Zlokovic ; Axel Montagne ; Paul M. Thompson; 7T multi-shell hybrid diffusion imaging (HYDI) for mapping brain connectivity in mice. Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 941309 (March 20, 2015); doi:10.1117/12.2081491
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:58654
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:06 Jul 2015 18:19
Last Modified:09 Mar 2020 13:19

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