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Collaborations with the UCLA Laboratory of Neuro Imaging (LONI)

Collaborations with the UCLA Laboratory of Neuro Imaging (LONI). Paul Thompson, Ph.D. Professor of Neurology & Psychiatry Director, Imaging Genetics Center Laboratory of Neuro Imaging UCLA School of Medicine, Los Angeles, CA.

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Collaborations with the UCLA Laboratory of Neuro Imaging (LONI)

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  1. Collaborations with theUCLA Laboratory of Neuro Imaging (LONI) • Paul Thompson, Ph.D. • Professor of Neurology & Psychiatry • Director, Imaging Genetics Center • Laboratory of Neuro Imaging • UCLA School of Medicine, Los Angeles, CA

  2. UCLA-CMRR were awarded 2 Collaborative R01s – only possible because of the P41 – expertise, infrastructure CMRR provides UCLA with novel scans, algorithms, analyses that we work on together (>30 papers in 4 years): R01 NIBIB, HARDI Mapping of Disease Effects on the Brain - $549,204/year How can HARDI advance the study of Alzheimer’s disease? • develop new algorithms to handle HARDI, multi-shell DWI (compute ODFs, tracts, networks) • do better diffusion models help? (HARDI, TDF, CSA-ODF) and connectivity – CMRR expertise in mathematics as well as acquisition Joint papers – with G. Sapiro (30 papers); C. Lenglet (26); Bryon Mueller (8), N. Harel (8); E. Yacoub (2), etc.

  3. 2nd R01 (UCLA/CMRR) – Compare 7T and 3T Diffusion Imaging in Alzheimer’s disease, MCI • R01 NIBIB, Computational Modeling of High-Field MR Images - $294,831/year • Scan 80 people at both 7T and 3T (Kelvin Lim and Bryon Mueller) – highly valuable dataset for the field 1. How can 7T scanning advance the study of AD and MCI? 2. How do DTI measures change at higher field? (FA/ODFs, networks, connectivity measures)

  4. CMRR 7T DWI - Noam Harel; UCLA tractography

  5. CMRR 7T DWI - Noam Harel; UCLA tractography

  6. CMRR 7T DWI; Thompson-Lenglet-Sapiro R01

  7. 7T picks up thinner tracts; reconstruction method also matters Connectivity matrices 10 people scanned at both 7 and 3T Data reconstructed with sum-of-squares, adaptive recombine, SENSE1, etc.

  8. Structural Network Hubs Damaged by HIV Hough Transform Tractography Algorithm Aganj I, Lenglet C, Jahanshad N, Yacoub E, Harel N, Thompson PM, Sapiro G (2011). A Hough Transform Global Probabilistic Approach to Multiple-Subject Diffusion MRI Tractography, Medical Image Analysis, 2011 Aug;15(4):414-25.

  9. Whole Brain HARDI Tractography (CMRR, Aganj et al.) This is the most robust tractography algorithm we have ever used (avoids ‘spaghetti’) Trying it now in many clinical projects (HIV, 22q, children)

  10. Collaborating on better mathematical models of Diffusion - critical to infer FA, fiber directions, connectivity

  11. To capture diffusion at multiple b-values, we studied a fast q-space sampling scheme (“staggered HYDI"; Zhan ISBI 2011) Sample first b-value shell Uniformly on sphere (electrostatic principle) Interleave New shells with higher diffusion weightings (b=1000, 2000, 3000 s/mm2 at 7 Tesla)

  12. Multi-shell HYDI using TDF (Zhan ISBI 2011)- compare ODFs + tractography from each shell, combined, sub-sampled

  13. Thanks to the CMRR P41: Many UCLA projects benefit from CMRR’s scientific innovations Support includes: scans, algorithms, unique expertise >30 joint papers in 4 years 2 collaborative funded R01s (7T, HARDI) another collaborative R01 is being planned today!

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