Quantitative Analysis of Arterial Spin Labeling FMRI Data Using a General Linear Model

Arterial spin labeling techniques can yield quantitative measures of perfusion by fitting a kinetic model to difference images (tagged-control). Because of the noisy nature of the difference images investigators typically average a large number of tagged versus control difference measurements over long periods of time. This averaging requires that the perfusion signal be at a steady state and not at the transitions between active and baseline states in order to quantitatively estimate activation induced perfusion. This can be an impediment for functional magnetic resonance imaging task experiments. In this work, we introduce a general linear model (GLM) that specifies Blood Oxygenation Level Dependent (BOLD) effects and arterial spin labeling modulation effects and translate them into meaningful, quantitative measures of perfusion by using standard tracer kinetic models. We show that there is a strong association between the perfusion values using our GLM method and the traditional subtraction method, but that our GLM method is more robust to noise

Turbo-FLASH based arterial spin labeled perfusion MRI at 7 T.

Motivations of arterial spin labeling (ASL) at ultrahigh magnetic fields include prolonged blood T1 and greater signal-to-noise ratio (SNR). However, increased B0 and B1 inhomogeneities and increased specific absorption ratio (SAR) challenge practical ASL implementations. In this study, Turbo-FLASH (Fast Low Angle Shot) based pulsed and pseudo-continuous ASL sequences were performed at 7T, by taking advantage of the relatively low SAR and short TE of Turbo-FLASH that minimizes susceptibility artifacts. Consistent with theoretical predictions, the experimental data showed that Turbo-FLASH based ASL yielded approximately 4 times SNR gain at 7T compared to 3T. High quality perfusion images were obtained with an in-plane spatial resolution of 0.85×1.7 mm(2). A further functional MRI study of motor cortex activation precisely located the primary motor cortex to the precentral gyrus, with the same high spatial resolution. Finally, functional connectivity between left and right motor cortices as well as supplemental motor area were demonstrated using resting state perfusion images. Turbo-FLASH based ASL is a promising approach for perfusion imaging at 7T, which could provide novel approaches to high spatiotemporal resolution fMRI and to investigate the functional connectivity of brain networks at ultrahigh field

Expanding the role of functional mri in rehabilitation research

Functional magnetic resonance imaging (fMRI) based on blood oxygenation level dependent (BOLD) contrast has become a universal methodology in functional neuroimaging. However, the BOLD signal consists of a mix of physiological parameters and has relatively poor reproducibility. As fMRI becomes a prominent research tool for rehabilitation studies involving repeated measures of the human brain, more quantitative and stable fMRI contrasts are needed. This dissertation enhances quantitative measures to complement BOLD fMRI. These additional markers, cerebral blood flow (CBF) and cerebral blood volume (CBV) (and hence cerebral metabolic rate of oxygen (CMRO₂) modeling) are more specific imaging markers of neuronal activity than BOLD. The first aim of this dissertation assesses feasibility of complementing BOLD with quantitative fMRI measures in subjects with central visual impairment. Second, image acquisition and analysis are developed to enhance quantitative fMRI by quantifying CBV while simultaneously acquiring CBF and BOLD images. This aim seeks to relax assumptions related to existing methods that are not suitable for patient populations. Finally, CBF acquisition using a low-cost local labeling coil, which improves image quality, is combined with simultaneous acquisition of two types of traditional BOLD contrast. The demonstrated enhancement of CBF, CBV and CMRO₂measures can lead to better characterization of pathophysiology and treatment effects.Ph.D.Committee Chair: Hu, Xiaoping; Committee Member: Benkeser, Paul; Committee Member: Keilholz, Shella; Committee Member: Sathian, Krish; Committee Member: Schuchard, Ronal

Complex-valued analysis of arterial spin labeling–based functional magnetic resonance imaging signals

Cerebral blood flow-dependent phase differences between tagged and control arterial spin labeling images are reported. A biophysical model is presented to explain the vascular origin of this difference. Arterial spin labeling data indicated that the phase difference is largest when the arterial component of the signals is preserved but is greatly reduced as the arterial contribution is suppressed by postinversion delays or flow-crushing gradients. Arterial vasculature imaging by saturation data of activation and hypercapnia conditions showed increases in phase accompanying blood flow increases. An arterial spin labeling functional magnetic resonance imaging study yielded significant activation by magnitude-only, phase-only, and complex analyses when preserving the whole arterial spin labeling signal. After suppression of the arterial signal by postinversion delays, magnitude-only and complex models yielded similar activation levels, but the phase-only model detected nearly no activation. When flow crushers were used for arterial suppression, magnitude-only activation was slightly lower and fluctuations in phase were dramatically higher than when postinversion delays were used. Although the complex analysis performed did not improve detection, a simulation study indicated that the complex-valued activation model exhibits combined magnitude and phase detection power and thus maximizes sensitivity under ideal conditions. This suggests that, as arterial spin labeling imaging and image correction methods develop, the complex-valued detection model may become helpful in signal detection. Magn Reson Med, 2009. © 2009 Wiley-Liss, Inc.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/64527/1/22106_ftp.pd

Drug and disease effects on the human brain studied by functional MRI

Background: With the advent of magnetic resonance imaging (MRI) technology, various functional MRI (fMRI) techniques have become available for non-invasive neuroscientific studies and clinical diagnostics, which have led to a better understanding of the human brain function in normal and diseased subjects. In order to interpret the fMRI results correctly and design optimal research studies it is important to understand both the potentials and limitations associated with each fMRI technique. In this thesis we used two fMRI techniques: arterial spin labeling (ASL) and resting-sate BOLD (blood-oxygen-level dependent) fMRI to study the effects of a CNS-active (central nervous system) drug and neurologic disorder on the human brain function. Purpose: The main research purposes of this thesis are the following: 1) We assess the reproducibility and reliability of rCBF (regional cerebral blood flow) measurements conducted at 3T with pCASL (pseudo continuous ASL) technique; 2) We study the pharmacokinetics of a CNS active drug in normal volunteers by conducting rCBF measurements as a function of time after intake of a single dose of 20 mg d-amphetamine with the pCASL technique; 3) We investigate the possible neurological abnormalities of mild traumatic brain injury (mTBI) patients with chronic fatigue by performing rCBF and resting-sate functional connectivity measurements before, during and after a 20 minute continuous psychomotor vigilance task (PVT). Conclusion: The results from these studies show that the pCASL technique is a relatively robust method for quantitative measurements of rCBF in both normal volunteers and patient subjects. Repeated rCBF measurements with the pCASL method is a non-invasive and sufficiently sensitive approach to assess pharmacokinetic response to CNS active chemicals and should be useful for studying the neurophysiological characteristics in vivo of potential CNS drugs. The results from the mTBI subjects demonstrate that the repeated measurements of rCBF and functional connectivity metrics before, during and after a PVT provide sensitive diagnostic imaging methods to assess neurological abnormality of mTBI patients without apparent neuroanatomical damage. In addition to the clinical diagnostic value, these studies also contribute to important knowledge for the design and analysis of brain functional imaging studies of drugs and neurological diseases

Feasibility of using Arterial Spin Labeling for Detecting Longitudinal Changes in Cerebral Blood Flow

The ability of the perfusion MRI technique, arterial spin labeling (ASL), to quantify cerebral blood flow (CBF) makes it attractive for longitudinal studies of changes in brain function, such as those related to chronic pain. However, ASL\u27s poor spatial resolution makes image alignment between sessions difficult, leading to increased variance and greater Type-I errors. In addition, variability due to differences in basal blood flow between sessions and confounding effects such as the arterial transit time (ATT) have the potential to reduce reproducibility over time. The focus of this thesis is to investigate the ability of ASL to detect long-term changes in regional CBF within an individual on a voxel-wise level. It is hypothesized that ASL has the sensitivity to detect activation-induced CBF changes over periods as long as a month if the sources of variance that degrade between-session comparisons are minimized. To test this hypothesis rest and activation (motor task) CBF images were acquired from healthy subjects on three separate imaging sessions. Registration errors were minimized by using individual head molds to replicate the head position in successive sessions. Variations in resting CBF were controlled for by performing the imaging during the same time of day, and subjects were asked to refrain from using common substances, such as caffeine, that are known to affect CBF. Finally, ATT maps were generated on each session to investigate its stability. From these data sets, the within- and between-session variability in CBF was determined and motor-related activation maps were generated from rest and activation data acquired on from the same session and from sessions separated by a week and a month. The results demonstrated excellent reliability (intraclass correlation coefficients greater than 0.75) both within- (0.89 ± 0.2) and between-session (0.84 ± 0.15), and high reproducibility (within subject coefficient of variation, wsCV, greater than 20%) within- (wsCV = 4.7 ± 4.5%) and between-session (wsCV = 5.7 ± 4.4%). Between-session reproducibility of the ATT was high (wsCV = 5.0 ± 2.7%), suggesting that the confounding effect of ATT over a month was minimal. The similarity in within- and between-session variability and their activation maps indicated that registration errors between sessions were minimal. Measures of precision of activation demonstrated that less than ~20% of between-session activation were false positives. These results demonstrate the feasibility of conducting voxel-wise analysis of CBF images acquired on different days and highlight the potential of this technique for longitudinal studies

Arterial cerebral blood volume–weighted functional MRI using pseudocontinuous arterial spin tagging (AVAST)

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/110725/1/mrm25220.pd

Optimized simultaneous ASL and BOLD functional imaging of the whole brain

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/106990/1/jmri24273.pd