Literature DB >> 16261574

Quantifying CBF with arterial spin labeling.

Richard B Buxton1.   

Abstract

The basic principles of measuring cerebral blood flow (CBF) using arterial spin labeling (ASL) are reviewed. The measurement is modeled by treating the ASL method as a magnetic resonance imaging (MRI) version of a microsphere study, rather than a diffusible tracer study. This approach, particularly when applied to pulsed ASL (PASL) experiments, clarifies that absolute calibration of CBF primarily depends on global properties of blood, rather than local tissue properties such as the water partition coefficient or relaxation time. However, transit delays from the tagging region to the image voxel are a potential problem in all standard ASL methods. The key to quantitative CBF measurements that compensate for this systematic error is to create a well-defined bolus of tagged blood and to ensure that all of the bolus has been delivered to an imaging voxel at the time of measurement. Two practical technical factors considered here are 1) producing a tagged bolus with a well-defined temporal width and 2) accounting for reduction in magnitude of the tagged magnetization due to relaxation. The ASL approach has the potential to provide a robust estimation of CBF, although the timing of water exchange into tissue and the effects of pulsatile flow require further investigation.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16261574     DOI: 10.1002/jmri.20462

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  55 in total

1.  Correction for arterial-tissue delay and dispersion in absolute quantitative cerebral perfusion DSC MR imaging.

Authors:  Jessy J Mouannes-Srour; Wanyong Shin; Sameer A Ansari; Michael C Hurley; Parmede Vakil; Bernard R Bendok; John L Lee; Colin P Derdeyn; Timothy J Carroll
Journal:  Magn Reson Med       Date:  2011-12-12       Impact factor: 4.668

2.  Whole-brain cerebral blood flow mapping using 3D echo planar imaging and pulsed arterial tagging.

Authors:  Neville D Gai; S Lalith Talagala; John A Butman
Journal:  J Magn Reson Imaging       Date:  2011-02       Impact factor: 4.813

3.  Assessing potential errors of MRI-based measurements of pulmonary blood flow using a detailed network flow model.

Authors:  K S Burrowes; R B Buxton; G K Prisk
Journal:  J Appl Physiol (1985)       Date:  2012-04-26

Review 4.  Imaging lung perfusion.

Authors:  Susan R Hopkins; Mark O Wielpütz; Hans-Ulrich Kauczor
Journal:  J Appl Physiol (1985)       Date:  2012-05-17

5.  Distinct medial temporal contributions to different forms of recognition in amnestic mild cognitive impairment and Alzheimer's disease.

Authors:  Carmen Westerberg; Andrew Mayes; Susan M Florczak; Yufen Chen; Jessica Creery; Todd Parrish; Sandra Weintraub; M-Marsel Mesulam; Paul J Reber; Ken A Paller
Journal:  Neuropsychologia       Date:  2013-07-04       Impact factor: 3.139

6.  Noninvasive imaging of quantitative cerebral blood flow changes during 100% oxygen inhalation using arterial spin-labeling MR imaging.

Authors:  G Zaharchuk; A J Martin; W P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2008-04       Impact factor: 3.825

7.  7T bone perfusion imaging of the knee using arterial spin labeling MRI.

Authors:  Xiufeng Li; Casey P Johnson; Jutta Ellermann
Journal:  Magn Reson Med       Date:  2019-12-24       Impact factor: 4.668

8.  Dedifferentiated face processing in older adults is linked to lower resting state metabolic activity in fusiform face area.

Authors:  Leslie Zebrowitz; Noreen Ward; Jasmine Boshyan; Angela Gutchess; Nouchine Hadjikhani
Journal:  Brain Res       Date:  2016-05-06       Impact factor: 3.252

9.  Interpreting oxygenation-based neuroimaging signals: the importance and the challenge of understanding brain oxygen metabolism.

Authors:  Richard B Buxton
Journal:  Front Neuroenergetics       Date:  2010-06-17

10.  Resting myocardial perfusion quantification with CMR arterial spin labeling at 1.5 T and 3.0 T.

Authors:  Benjamin E Northrup; Kyle S McCommis; Haosen Zhang; Shuddhadeb Ray; Pamela K Woodard; Robert J Gropler; Jie Zheng
Journal:  J Cardiovasc Magn Reson       Date:  2008-11-17       Impact factor: 5.364

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.