Literature DB >> 24307572

Three-dimensional whole-brain perfusion quantification using pseudo-continuous arterial spin labeling MRI at multiple post-labeling delays: accounting for both arterial transit time and impulse response function.

Qin Qin1, Alan J Huang, Jun Hua, John E Desmond, Robert D Stevens, Peter C M van Zijl.   

Abstract

Measurement of the cerebral blood flow (CBF) with whole-brain coverage is challenging in terms of both acquisition and quantitative analysis. In order to fit arterial spin labeling-based perfusion kinetic curves, an empirical three-parameter model which characterizes the effective impulse response function (IRF) is introduced, which allows the determination of CBF, the arterial transit time (ATT) and T(1,eff). The accuracy and precision of the proposed model were compared with those of more complicated models with four or five parameters through Monte Carlo simulations. Pseudo-continuous arterial spin labeling images were acquired on a clinical 3-T scanner in 10 normal volunteers using a three-dimensional multi-shot gradient and spin echo scheme at multiple post-labeling delays to sample the kinetic curves. Voxel-wise fitting was performed using the three-parameter model and other models that contain two, four or five unknown parameters. For the two-parameter model, T(1,eff) values close to tissue and blood were assumed separately. Standard statistical analysis was conducted to compare these fitting models in various brain regions. The fitted results indicated that: (i) the estimated CBF values using the two-parameter model show appreciable dependence on the assumed T(1,eff) values; (ii) the proposed three-parameter model achieves the optimal balance between the goodness of fit and model complexity when compared among the models with explicit IRF fitting; (iii) both the two-parameter model using fixed blood T1 values for T(1,eff) and the three-parameter model provide reasonable fitting results. Using the proposed three-parameter model, the estimated CBF (46 ± 14 mL/100 g/min) and ATT (1.4 ± 0.3 s) values averaged from different brain regions are close to the literature reports; the estimated T(1,eff) values (1.9 ± 0.4 s) are higher than the tissue T1 values, possibly reflecting a contribution from the microvascular arterial blood compartment.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  GRASE; PCASL; arterial transit time; brain; cerebral blood flow; clinical; human; impulse response function

Mesh:

Substances:

Year:  2013        PMID: 24307572      PMCID: PMC3947417          DOI: 10.1002/nbm.3040

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  62 in total

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Authors:  A R Pries; T W Secomb; P Gaehtgens
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Journal:  Magn Reson Med       Date:  1992-01       Impact factor: 4.668

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  21 in total

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Authors:  Ying Cheng; Peter C M van Zijl; James J Pekar; Jun Hua
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2.  Spatially adaptive unsupervised multispectral nonlocal filtering for improved cerebral blood flow mapping using arterial spin labeling magnetic resonance imaging.

Authors:  Mustapha Bouhrara; Diana Y Lee; Abinand C Rejimon; Christopher M Bergeron; Richard G Spencer
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3.  Gradient- and spin-echo (GRASE) MR imaging: a long-existing technology that may find wide applications in modern era.

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4.  Improved velocity-selective-inversion arterial spin labeling for cerebral blood flow mapping with 3D acquisition.

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5.  Steady pulsed imaging and labeling scheme for noninvasive perfusion imaging.

Authors:  Jiadi Xu; Qin Qin; Dan Wu; Jun Hua; Xiaolei Song; Michael T McMahon; Frances J Northington; Jiangyang Zhang; Peter C M van Zijl; James J Pekar
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6.  Cerebral hemodynamics and pseudo-continuous arterial spin labeling considerations in adults with sickle cell anemia.

Authors:  Meher R Juttukonda; Lori C Jordan; Melissa C Gindville; Larry T Davis; Jennifer M Watchmaker; Sumit Pruthi; Manus J Donahue
Journal:  NMR Biomed       Date:  2017-01-04       Impact factor: 4.044

7.  Arterial Spin Labeling Magnetic Resonance Imaging Estimation of Antegrade and Collateral Flow in Unilateral Middle Cerebral Artery Stenosis.

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Journal:  Stroke       Date:  2016-01-05       Impact factor: 7.914

8.  Velocity-selective-inversion prepared arterial spin labeling.

Authors:  Qin Qin; Peter C M van Zijl
Journal:  Magn Reson Med       Date:  2015-10-28       Impact factor: 4.668

9.  Arterial spin labeling reveals relationships between resting cerebral perfusion and motor learning in Parkinson's disease.

Authors:  Amy Barzgari; Jitka Sojkova; N Maritza Dowling; Vincent Pozorski; Ozioma C Okonkwo; Erika J Starks; Jennifer Oh; Frances Thiesen; Alexandra Wey; Christopher R Nicholas; Sterling Johnson; Catherine L Gallagher
Journal:  Brain Imaging Behav       Date:  2019-06       Impact factor: 3.978

10.  Perfusion measurement in brain gliomas using velocity-selective arterial spin labeling: comparison with pseudo-continuous arterial spin labeling and dynamic susceptibility contrast MRI.

Authors:  Yaoming Qu; Dexia Kong; Haitao Wen; Xiaochan Ou; Qihong Rui; Xianlong Wang; Doris D Lin; Qin Qin; Zhibo Wen
Journal:  Eur Radiol       Date:  2022-01-23       Impact factor: 5.315

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