Cerebral Blood Flow Measurement Using FMRI and PET: a Cross-validation Study

Overview

Journal Int J Biomed Imaging

Publisher Wiley

Specialty Radiology

Date 2008 Oct 1

PMID 18825270

Citations 21

Authors

Jean J Chen

Marguerite Wieckowska

Ernst Meyer

G Bruce Pike

Affiliations

Soon will be listed here.

Abstract

An important aspect of functional magnetic resonance imaging (fMRI) is the study of brain hemodynamics, and MR arterial spin labeling (ASL) perfusion imaging has gained wide acceptance as a robust and noninvasive technique. However, the cerebral blood flow (CBF) measurements obtained with ASL fMRI have not been fully validated, particularly during global CBF modulations. We present a comparison of cerebral blood flow changes (DeltaCBF) measured using a flow-sensitive alternating inversion recovery (FAIR) ASL perfusion method to those obtained using H(2) (15)O PET, which is the current gold standard for in vivo imaging of CBF. To study regional and global CBF changes, a group of 10 healthy volunteers were imaged under identical experimental conditions during presentation of 5 levels of visual stimulation and one level of hypercapnia. The CBF changes were compared using 3 types of region-of-interest (ROI) masks. FAIR measurements of CBF changes were found to be slightly lower than those measured with PET (average DeltaCBF of 21.5 +/- 8.2% for FAIR versus 28.2 +/- 12.8% for PET at maximum stimulation intensity). Nonetheless, there was a strong correlation between measurements of the two modalities. Finally, a t-test comparison of the slopes of the linear fits of PET versus ASL DeltaCBF for all 3 ROI types indicated no significant difference from unity (P > .05).

Citing Articles

The cerebral blood flow response to neuroactivation is reduced in cognitively normal men with β-amyloid accumulation.

Vestergaard M, Bakhtiari A, Osler M, Mortensen E, Lindberg U, Law I Alzheimers Res Ther. 2025; 17(1):4.

PMID: 39754275 PMC: 11699738. DOI: 10.1186/s13195-024-01652-z.

The Quantitative Associations Between Near Infrared Spectroscopic Cerebrovascular Metrics and Cerebral Blood Flow: A Scoping Review of the Human and Animal Literature.

Gomez A, Sainbhi A, Froese L, Batson C, Slack T, Stein K Front Physiol. 2022; 13:934731.

PMID: 35910568 PMC: 9335366. DOI: 10.3389/fphys.2022.934731.

Cerebrovascular Reactivity: Purpose, Optimizing Methods, and Limitations to Interpretation - A Personal 20-Year Odyssey of (Re)searching.

Fisher J, Mikulis D Front Physiol. 2021; 12:629651.

PMID: 33868001 PMC: 8047146. DOI: 10.3389/fphys.2021.629651.

Separating vascular and neuronal effects of age on fMRI BOLD signals.

Tsvetanov K, Henson R, Rowe J Philos Trans R Soc Lond B Biol Sci. 2020; 376(1815):20190631.

PMID: 33190597 PMC: 7741031. DOI: 10.1098/rstb.2019.0631.

Cortical Excitation:Inhibition Imbalance Causes Abnormal Brain Network Dynamics as Observed in Neurodevelopmental Disorders.

Markicevic M, Fulcher B, Lewis C, Helmchen F, Rudin M, Zerbi V Cereb Cortex. 2020; 30(9):4922-4937.

PMID: 32313923 PMC: 7391279. DOI: 10.1093/cercor/bhaa084.

References

Ostergaard L, Johannsen P, Vestergaard-Poulsen P, Asboe H, Gee A, Hansen S . Cerebral blood flow measurements by magnetic resonance imaging bolus tracking: comparison with [(15)O]H2O positron emission tomography in humans. J Cereb Blood Flow Metab. 1998; 18(9):935-40. DOI: 10.1097/00004647-199809000-00002. View

Buxton R, Frank L, Wong E, Siewert B, Warach S, Edelman R . A general kinetic model for quantitative perfusion imaging with arterial spin labeling. Magn Reson Med. 1998; 40(3):383-96. DOI: 10.1002/mrm.1910400308. View

Davis T, Kwong K, Weisskoff R, Rosen B . Calibrated functional MRI: mapping the dynamics of oxidative metabolism. Proc Natl Acad Sci U S A. 1998; 95(4):1834-9. PMC: 19199. DOI: 10.1073/pnas.95.4.1834. View

Wong E, Buxton R, Frank L . Implementation of quantitative perfusion imaging techniques for functional brain mapping using pulsed arterial spin labeling. NMR Biomed. 1997; 10(4-5):237-49. DOI: 10.1002/(sici)1099-1492(199706/08)10:4/5<237::aid-nbm475>3.0.co;2-x. View

Kim S, Tsekos N . Perfusion imaging by a flow-sensitive alternating inversion recovery (FAIR) technique: application to functional brain imaging. Magn Reson Med. 1997; 37(3):425-35. DOI: 10.1002/mrm.1910370321. View

Ohta S, Meyer E, Fujita H, Reutens D, Evans A, Gjedde A . Cerebral [15O]water clearance in humans determined by PET: I. Theory and normal values. J Cereb Blood Flow Metab. 1996; 16(5):765-80. DOI: 10.1097/00004647-199609000-00002. View

Evans A, Marrett S, Neelin P, Collins L, Worsley K, Dai W . Anatomical mapping of functional activation in stereotactic coordinate space. Neuroimage. 1992; 1(1):43-53. DOI: 10.1016/1053-8119(92)90006-9. View

Walsh E, Minematsu K, Leppo J, Moore S . Radioactive microsphere validation of a volume localized continuous saturation perfusion measurement. Magn Reson Med. 1994; 31(2):147-53. DOI: 10.1002/mrm.1910310208. View

Sereno M, Dale A, Reppas J, Kwong K, Belliveau J, Brady T . Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging. Science. 1995; 268(5212):889-93. DOI: 10.1126/science.7754376. View

10.

Detre J, Zhang W, Roberts D, Silva A, Williams D, Grandis D . Tissue specific perfusion imaging using arterial spin labeling. NMR Biomed. 1994; 7(1-2):75-82. DOI: 10.1002/nbm.1940070112. View

11.

Collins D, Neelin P, Peters T, Evans A . Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. J Comput Assist Tomogr. 1994; 18(2):192-205. View

12.

Bezdek J, Hall L, Clarke L . Review of MR image segmentation techniques using pattern recognition. Med Phys. 1993; 20(4):1033-48. DOI: 10.1118/1.597000. View

13.

Woods R, Cherry S, Mazziotta J . Rapid automated algorithm for aligning and reslicing PET images. J Comput Assist Tomogr. 1992; 16(4):620-33. DOI: 10.1097/00004728-199207000-00024. View

14.

Ranger N, Thompson C, Evans A . The application of a masked orbiting transmission source for attenuation correction in PET. J Nucl Med. 1989; 30(6):1056-68. View

15.

Feng C, Narayana S, Lancaster J, Jerabek P, Arnow T, Zhu F . CBF changes during brain activation: fMRI vs. PET. Neuroimage. 2004; 22(1):443-6. DOI: 10.1016/j.neuroimage.2004.01.017. View

16.

Carroll T, Teneggi V, Jobin M, Squassante L, Treyer V, Hany T . Absolute quantification of cerebral blood flow with magnetic resonance, reproducibility of the method, and comparison with H2(15)O positron emission tomography. J Cereb Blood Flow Metab. 2002; 22(9):1149-56. DOI: 10.1097/00004647-200209000-00013. View

17.

Kastrup A, Kruger G, Neumann-Haefelin T, Glover G, Moseley M . Changes of cerebral blood flow, oxygenation, and oxidative metabolism during graded motor activation. Neuroimage. 2002; 15(1):74-82. DOI: 10.1006/nimg.2001.0916. View

18.

Worsley K, Liao C, Aston J, Petre V, Duncan G, Morales F . A general statistical analysis for fMRI data. Neuroimage. 2002; 15(1):1-15. DOI: 10.1006/nimg.2001.0933. View

19.

Lin W, Celik A, Derdeyn C, An H, Lee Y, Videen T . Quantitative measurements of cerebral blood flow in patients with unilateral carotid artery occlusion: a PET and MR study. J Magn Reson Imaging. 2001; 14(6):659-67. PMC: 4102701. DOI: 10.1002/jmri.10021. View

20.

Liu H, Kochunov P, Hou J, Pu Y, Mahankali S, Feng C . Perfusion-weighted imaging of interictal hypoperfusion in temporal lobe epilepsy using FAIR-HASTE: comparison with H(2)(15)O PET measurements. Magn Reson Med. 2001; 45(3):431-5. DOI: 10.1002/1522-2594(200103)45:3<431::aid-mrm1056>3.0.co;2-e. View