Literature DB >> 32367574

Numerical approximation to the general kinetic model for ASL quantification.

Nam G Lee1, Ahsan Javed2, Terrence R Jao1, Krishna S Nayak2.   

Abstract

PURPOSE: To develop a numerical approximation to the general kinetic model for arterial spin labeling (ASL) quantification that will enable greater flexibility in ASL acquisition methods. THEORY: The Bloch-McConnell equations are extended to include the effects of single-compartment inflow and outflow on both the transverse and longitudinal magnetization. These can be solved using an extension of Jaynes' matrix formalism with piecewise constant approximation of incoming labeled arterial flow and a clearance operator for outgoing venous flow.
METHODS: The proposed numerical approximation is compared with the general kinetic model using simulations of pulsed labeling and pseudo-continuous labeling and a broad range of transit time and bolus duration for tissue blood flow of 0.6 mL/g/min. Accuracy of the approximation is studied as a function of the timestep using Monte-Carlo simulations. Three additional scenarios are demonstrated: (1) steady-pulsed ASL, (2) MR fingerprinting ASL, and (3) balanced SSFP and spoiled gradient-echo sequences.
RESULTS: The proposed approximation was found to be arbitrarily accurate for pulsed labeling and pseudo-continuous labeling. The pulsed labeling/pseudo-continuous labeling approximation error compared with the general kinetic model was less than 0.002% (<0.002%) and less than 0.05% (<0.05%) for timesteps of 3 ms and 35 ms, respectively. The proposed approximation matched well with customized signal expressions of steady-pulsed ASL and MR fingerprinting ASL. The simulations of simultaneous modeling of flow, T2 , and magnetization transfer showed an increase in steady-state balanced SSFP and spoiled gradient signals.
CONCLUSION: We demonstrate a numerical approximation of the "Bloch-McConnell flow" equations that enables arbitrarily accurate modeling of pulsed ASL and pseudo-continuous labeling signals comparable to the general kinetic model. This enables increased flexibility in the experiment design for quantitative ASL.
© 2020 International Society for Magnetic Resonance in Medicine.

Keywords:  arterial spin labeling; blood flow; fingerprinting ASL; perfusion; quantification; steady-pulsed ASL

Mesh:

Substances:

Year:  2020        PMID: 32367574      PMCID: PMC7402027          DOI: 10.1002/mrm.28304

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  46 in total

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5.  Numerical approximation to the general kinetic model for ASL quantification.

Authors:  Nam G Lee; Ahsan Javed; Terrence R Jao; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2020-05-04       Impact factor: 4.668

6.  A model for magnetization transfer in tissues.

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7.  Cine-ASL: a steady-pulsed arterial spin labeling method for myocardial perfusion mapping in mice. Part II. Theoretical model and sensitivity optimization.

Authors:  Thibaut Capron; Thomas Troalen; Patrick J Cozzone; Monique Bernard; Frank Kober
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8.  Perfusion imaging.

Authors:  J A Detre; J S Leigh; D S Williams; A P Koretsky
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9.  Modeling pulsed magnetization transfer.

Authors:  Sharon Portnoy; Greg J Stanisz
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10.  Optimizing MRF-ASL scan design for precise quantification of brain hemodynamics using neural network regression.

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  1 in total

1.  Numerical approximation to the general kinetic model for ASL quantification.

Authors:  Nam G Lee; Ahsan Javed; Terrence R Jao; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2020-05-04       Impact factor: 4.668

  1 in total

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