Laminar Perfusion Imaging

NIH RePORTER · NIH · R01 · $513,656 · view on reporter.nih.gov ↗

Abstract

PROJECT SUMMARY The goal of this project is to further develop and optimize the next generation arterial spin labeling (ASL) technologies for quantitative mapping of microvascular perfusion at the level of cortical layers and columns on the first FDA approved ultrahigh magnetic (UHF) system, the 7T Terra. Blood oxygen level dependent (BOLD) fMRI is the most widely used non-invasive imaging modality for studying the dynamics of macroscopic brain networks and mesoscopic brain circuits. However, BOLD contrast is susceptible to contaminations of pial veins on the cortical surface that significantly confounds laminar fMRI. Cerebral blood flow (CBF) or microvascular perfusion measured by ASL is a key parameter for in vivo assessment of neurovascular function. The ASL signal is localized close to the site of neural activation and offers the unique capability for quantitative CBF measurements both at rest and during task activation. We pioneered laminar perfusion imaging using 3D inner- volume GRASE (Gradient and Spin Echo) ASL at 7T with a spatial resolution of ~1mm3. However, a sub- millimeter spatial resolution, and ideally at the level of ~0.1mm3 (or ~0.5x0.5x0.5mm3), is required for reliable differentiation of neural activities across cortical layers and columns, as well as for comparison with the state- of-the-art BOLD and CBV fMRI. We will take advantage of a few latest technical breakthroughs in our lab: 1) Cutting-edge ASL pulse sequences with optimized spin labeling strategies for laminar perfusion imaging at 7T; 2) A novel k-t CAIPIRANHA scheme in conjunction with a total-generalized-variation (TGV) regularized algorithm for robust under-sampling patterns and constrained reconstruction; and 3) A novel denoising technique termed k-space weighted image average (KWIA) invented by our group that is able to reduce the thermal noise by 50% and double the signal-to-noise ratio (SNR) of dynamic MRI without significantly affecting the spatial and temporal resolution. We will then apply the advanced ASL methods to precisely measure perfusion, arterial transit time (ATT) and T1 of brain tissue across cortical layers during resting state, as well as to precisely measure task induced perfusion signal changes across cortical layers and columns using sensorimotor stimulation and working memory tasks. As an exploratory aim, we will further develop an innovative pulse sequence for concurrent measurements of T2w BOLD, CBF and CBV contrasts at 7T for mesoscopic imaging of metabolic activities. The developed ASL technologies and research findings will be highly valuable to both basic and clinical neuroscientific research. We will also evaluate the developed next- generation ASL pulse sequences and post-processing algorithms at 3T, and disseminate these technologies to other sites with 3 and/or 7T MR systems to facilitate the widespread adoption of our technologies by the neuroscientific community.

Key facts

NIH application ID
10288461
Project number
1R01EB032169-01
Recipient
UNIVERSITY OF SOUTHERN CALIFORNIA
Principal Investigator
Danny JJ WANG
Activity code
R01
Funding institute
NIH
Fiscal year
2021
Award amount
$513,656
Award type
1
Project period
2021-08-01 → 2025-04-30