Evidence map›Paper›PMID 32367574›Full record

ArticleMagnetic resonance in medicine2020

Numerical approximation to the general kinetic model for ASL quantification.

Nam G Lee, Ahsan Javed, Terrence R Jao, Krishna S Nayak

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Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nam G LeeDepartment of Biomedical Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-5462-1492
Ahsan JavedMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0003-1311-1247
Terrence R JaoDepartment of Biomedical Engineering, University of Southern California, Los Angeles, California, USA.
Krishna S NayakMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-5735-3550

Funding

Novel Myocardial Perfusion Stress Test using Arterial Spin LabelingR01HL130494 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NAYAK, KRISHNA S · 2016 to 2019
$1.7M
NHLBI NIH HHS R01 HL130494
6 · The paper itself

Abstract

purposeTo 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.

methodsThe 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.

resultsThe 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, T

conclusionWe 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.

Indexed as

ArteriesMagnetic Resonance AngiographyCerebrovascular CirculationKineticsSpin LabelsSpin Labelsarterial spin labelingblood flowfingerprinting ASLperfusionquantificationsteady-pulsed ASL

Identifiers

PMID32367574
PMCPMC7402027

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.