Dynamic contrast-enhanced MRI parametric mapping using high spatiotemporal resolution Golden-angle RAdial Sparse Parallel MRI and iterative joint estimation of the arterial input function and pharmacokinetic parameters Journal Article

   

Authors:	Mazaheri, Y.; Kim, N.; Lakhman, Y.; Jafari, R.; Vargas, A.; Otazo, R.
Article Title:	Dynamic contrast-enhanced MRI parametric mapping using high spatiotemporal resolution Golden-angle RAdial Sparse Parallel MRI and iterative joint estimation of the arterial input function and pharmacokinetic parameters
Abstract:	The aim of this work is to develop a data-driven quantitative dynamic contrast-enhanced (DCE) MRI technique using Golden-angle RAdial Sparse Parallel (GRASP) MRI with high spatial resolution and high flexible temporal resolution and pharmacokinetic (PK) analysis with an arterial input function (AIF) estimated directly from the data obtained from each patient. DCE-MRI was performed on 13 patients with gynecological malignancy using a 3-T MRI scanner with a single continuous golden-angle stack-of-stars acquisition and image reconstruction with two temporal resolutions, by exploiting a unique feature in GRASP that reconstructs acquired data with user-defined temporal resolution. Joint estimation of the AIF (both AIF shape and delay) and PK parameters was performed with an iterative algorithm that alternates between AIF and PK estimation. Computer simulations were performed to determine the accuracy (expressed as percentage error [PE]) and precision of the estimated parameters. PK parameters (volume transfer constant [Ktrans], fractional volume of the extravascular extracellular space [ve], and blood plasma volume fraction [vp]) and normalized root-mean-square error [nRMSE] (%) of the fitting errors for the tumor contrast kinetic data were measured both with population-averaged and data-driven AIFs. On patient data, the Wilcoxon signed-rank test was performed to compare nRMSE. Simulations demonstrated that GRASP image reconstruction with a temporal resolution of 1 s/frame for AIF estimation and 5 s/frame for PK analysis resulted in an absolute PE of less than 5% in the estimation of Ktrans and ve, and less than 11% in the estimation of vp. The nRMSE (mean ± SD) for the dual temporal resolution image reconstruction and data-driven AIF was 0.16 ± 0.04 compared with 0.27 ± 0.10 (p < 0.001) with 1 s/frame using population-averaged AIF, and 0.23 ± 0.07 with 5 s/frame using population-averaged AIF (p < 0.001). We conclude that DCE-MRI data acquired and reconstructed with the GRASP technique at dual temporal resolution can successfully be applied to jointly estimate the AIF and PK parameters from a single acquisition resulting in data-driven AIFs and voxelwise PK parametric maps. © 2022 John Wiley & Sons, Ltd.
Keywords:	scanning; nuclear magnetic resonance imaging; magnetic resonance imaging; reproducibility; reproducibility of results; algorithms; blood; algorithm; image enhancement; contrast medium; contrast media; dynamic contrast-enhanced mri; image reconstruction; pharmacokinetics; arterial input function; parameter estimation; pharmacokinetic parameters; population statistics; arteries; artery; temporal resolution; procedures; errors; hospital data processing; dynamic contrast enhanced mri; humans; human; iterative methods; mean square error; data driven; parallel mri; bolus arrival time; golden-angle radial sparse parallel mri; images reconstruction; s-frame
Journal Title:	NMR in Biomedicine
Volume:	35
Issue:	7
ISSN:	0952-3480
Publisher:	John Wiley & Sons
Date Published:	2022-07-01
Start Page:	e4718
Language:	English
DOI:	10.1002/nbm.4718
PUBMED:	35226774
PROVIDER:	scopus
PMCID:	PMC9203940
DOI/URL:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126248569&doi=10.1002%2fnbm.4718&partnerID=40&md5=fd9ae32f2d7594d18634a3fa46763ca5
Notes:	MSK affiliated author Yuliya Lakhman's first name is spelled "Yulia" in publisher record and PDF -- Article -- Export Date: 1 July 2022 -- Source: Scopus

https://synapse.mskcc.org/synapse/works/has_related_data_chk/195676