Quantifying CBF with arterial spin labeling

Buxton, Richard B.

doi:10.1002/jmri.20462

Cited by 134 publications

(123 citation statements)

References 12 publications

Supporting

Mentioning

120

Contrasting

Unclassified

Order By: Relevance

“…Investigators have attempted to validate the blood flow on ASL in the brain (12) and have shown that the blood flow on the ASL is linearly correlated with the blood flow obtained on other confirming methods. Our results showed significant positive correlation between the blood flow on FAIR and various perfusion-related parameters on DCE-MR, including the Kep, percent relative enhancement, and percent enhancement ratio.…”

Section: Discussionmentioning

confidence: 99%

Feasibility of FAIR imaging for evaluating tumor perfusion

Cho

Song

et al. 2010

Magnetic Resonance Imaging

View full text Add to dashboard Cite

Purpose: To evaluate the feasibility of flow-sensitive alternating inversion recovery (FAIR) for measuring blood flow in tumor models. Materials and Methods:In eight mice tumor models, FAIR and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) was performed. The reliability for measuring blood flow on FAIR was evaluated using the coefficient of variation of blood flow on psoas muscle. Three regions of interest (ROIs) were drawn in the peripheral, intermediate, and central portions within each tumor. The location of ROI was the same on FAIR and DCE-MR images. The correlation between the blood flow on FAIR and perfusion-related parameters on DCE-MRI was evaluated using the Pearson correlation coefficient.Results: The coefficient of variation for measuring blood flow was 9.8%. Blood flow on FAIR showed a strong correlation with Kep (r ¼ 0.77), percent relative enhancement (r ¼ 0.73), and percent enhancement ratio (r ¼ 0.81). The mean values of blood flow (mL/100 g/min) (358 vs. 207), Kep (sec À1 ) (7.46 vs. 1.31), percent relative enhancement (179% vs. 134%), and percent enhancement ratio (42% vs. 26%) were greater in the peripheral portion than in the central portion (P < 0.01). Conclusion:As blood flow measurement on FAIR is reliable and closely related with that on DCE-MR, FAIR is feasible for measuring tumor blood flow.

show abstract

Section: Discussionmentioning

confidence: 99%

Feasibility of FAIR imaging for evaluating tumor perfusion

Cho

Song

et al. 2010

Magnetic Resonance Imaging

View full text Add to dashboard Cite

show abstract

“…In ASL, the protons in arterial blood water are electromagnetically labeled proximal to the tissue of interest and the effects of prelabeling are determined by pair-wise comparison with images acquired using control labeling. The rate of decay of the signal from a known band proximal to the tissue of interest can be used qualitatively to compare perfusion of different areas of the brain on the same slice as well as calculate CBF using known parameters of protons in the blood, based on numerical values abstracted from the literature (Buxton, 2005). There are now at least four different variations on ASL including continuous ASL (CASL) (Detre and Alsop, 1999), pulsed ASL (PASL), cPASL (continuous PASL), and velocity selected ASL (VSASL) .…”

Section: Perfusion Imagingmentioning

confidence: 99%

Emerging Imaging Tools for Use with Traumatic Brain Injury Research

Hunter

Wilde

Tong

et al. 2012

Journal of Neurotrauma

114

View full text Add to dashboard Cite

This article identifies emerging neuroimaging measures considered by the inter-agency Pediatric Traumatic Brain Injury (TBI) Neuroimaging Workgroup. This article attempts to address some of the potential uses of more advanced forms of imaging in TBI as well as highlight some of the current considerations and unresolved challenges of using them. We summarize emerging elements likely to gain more widespread use in the coming years, because of 1) their utility in diagnosis, prognosis, and understanding the natural course of degeneration or recovery following TBI, and potential for evaluating treatment strategies; 2) the ability of many centers to acquire these data with scanners and equipment that are readily available in existing clinical and research settings; and 3) advances in software that provide more automated, readily available, and cost-effective analysis methods for large scale data image analysis. These include multi-slice CT, volumetric MRI analysis, susceptibility-weighted imaging (SWI), diffusion tensor imaging (DTI), magnetization transfer imaging (MTI), arterial spin tag labeling (ASL), functional MRI (fMRI), including resting state and connectivity MRI, MR spectroscopy (MRS), and hyperpolarization scanning. However, we also include brief introductions to other specialized forms of advanced imaging that currently do require specialized equipment, for example, single photon emission computed tomography (SPECT), positron emission tomography (PET), encephalography (EEG), and magnetoencephalography (MEG)/magnetic source imaging (MSI). Finally, we identify some of the challenges that users of the emerging imaging CDEs may wish to consider, including quality control, performing multi-site and longitudinal imaging studies, and MR scanning in infants and children.

show abstract

“…Since at TI = 1200 -milliseconds, most of the magnetization remains in the blood (Buxton, 2005), the relaxation time of the arterial blood T 1 = 1930 milliseconds (Stanisz et al, 2005) was uniformly used across all regions. There was no smoothing of ASL images.…”

Section: Calculation Of Blood Flowmentioning

confidence: 99%

Framingham Cardiovascular Risk Profile Correlates with Impaired Hippocampal and Cortical Vasoreactivity to Hypercapnia

Glodzik

Rusinek

Bryś

et al. 2010

J Cereb Blood Flow Metab

View full text Add to dashboard Cite

Vascular risk factors affect cerebral blood flow (CBF) and cerebral vascular reactivity, contributing to cognitive decline. Hippocampus is vulnerable to both Alzheimer's disease (AD) pathology and ischemia; nonetheless, the information about the impact of vascular risk on hippocampal perfusion is minimal. Cognitively, healthy elderly (NL = 18, 69.9 ± 6.7 years) and subjects with mild cognitive impairment (MCI = 15, 74.9 ± 8.1 years) were evaluated for the Framingham cardiovascular risk profile (FCRP). All underwent structural imaging and resting CBF assessment with arterial spin labeling (ASL) at 3T magnetic resonance imaging (MRI). In 24 subjects (NL = 17, MCI = 7), CBF was measured after a carbon dioxide rebreathing challenge. Across all subjects, FCRP negatively correlated with hippocampal (q = À0.41, P = 0.049) and global cortical (q = À0.46, P = 0.02) vasoreactivity to hypercapnia (VR h ). The FCRP-VR h relationships were most pronounced in the MCI group: hippocampus (q = À0.77, P = 0.04); global cortex (q = À0.83, P = 0.02). The FCRP did not correlate with either volume or resting CBF. The hippocampal VR h was lower in MCI than in NL subjects (Z = À2.0, P = 0.047). This difference persisted after age and FCRP correction (F [3,20] = 4.6, P = 0.05). An elevated risk for vascular pathology is associated with a reduced response to hypercapnia in both hippocampal and cortical tissue. The VR h is more sensitive to vascular burden than either resting CBF or brain volume.

show abstract

Quantifying CBF with arterial spin labeling

Cited by 134 publications

References 12 publications

Feasibility of FAIR imaging for evaluating tumor perfusion

Feasibility of FAIR imaging for evaluating tumor perfusion

Emerging Imaging Tools for Use with Traumatic Brain Injury Research

Framingham Cardiovascular Risk Profile Correlates with Impaired Hippocampal and Cortical Vasoreactivity to Hypercapnia

Contact Info

Product

Resources

About