Efficient estimation of gadolinium‐based contrast agent concentration using transient‐state keyhole MR‐STAT

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Autori principali: Fei Xu, Edwin Versteeg, Hongyan Liu, Miha Fuderer, Oscar van den Heide, Wybe J. M. van der Kemp, Cornelis A. T. van den Berg, Alessandro Sbrizzi
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Pubblicazione: Wiley 2025
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author Fei Xu
Edwin Versteeg
Hongyan Liu
Miha Fuderer
Oscar van den Heide
Wybe J. M. van der Kemp
Cornelis A. T. van den Berg
Alessandro Sbrizzi
author_facet Fei Xu
Edwin Versteeg
Hongyan Liu
Miha Fuderer
Oscar van den Heide
Wybe J. M. van der Kemp
Cornelis A. T. van den Berg
Alessandro Sbrizzi
Fei Xu
Edwin Versteeg
Hongyan Liu
Miha Fuderer
Oscar van den Heide
Wybe J. M. van der Kemp
Cornelis A. T. van den Berg
Alessandro Sbrizzi
collection Wiley Open Access
contents Efficient estimation of gadolinium‐based contrast agent concentration using transient‐state keyhole MR‐STAT Fei Xu Edwin Versteeg Hongyan Liu Miha Fuderer Oscar van den Heide Wybe J. M. van der Kemp Cornelis A. T. van den Berg Alessandro Sbrizzi Medical Physics Abstract Background Fast quantitative MRI (qMRI) techniques have emerged to quantify multiple tissue parameters from a single acquisition in clinically feasible scan times. To integrate fast qMRI techniques into a clinical MRI protocol, one needs to consider imaging after injection of a contrast agent (e.g., dynamic contrast‐enhanced [DCE] imaging). However, fully repeating the multi‐parametric scan after the injection requires lengthy scan times, which are impractical for tracking the contrast agent concentration. Purpose This work aimed to develop and validate an accelerated multi‐parametric method capable of estimating the concentration of Gadolinium‐based contrast agents (GBCAs) in a more time‐efficient way. Methods We designed an accelerated 2D Magnetic Resonance Spin TomogrAphy in Time‐domain (MR‐STAT) protocol and tested it on a 3T MRI scanner. This is achieved by combining transient‐state acquisitions with Cartesian keyhole‐based acceleration. Based on the reconstructed T 1 values, GBCA concentrations were quantified in phantoms containing water, manganese chloride, and five different concentrations of gadobutrol (Gadovist), ranging from 0.05 to 0.9 mM. Linear regression analysis between the estimated GBCA concentration and the reference values was performed to assess the accuracy. The GBCA concentration quantification method was then applied for synthetic patient data and a hybrid human/phantom study to demonstrate the feasibility of this method. Results The accelerated MR‐STAT protocol, with an undersampling factor of 4, provided accurate T 1 , T 2, and GBCA concentration measurements. Estimated GBCA concentrations were in a strong linear relationship with reference values, with a slope and intercept on simple linear regression analysis of 1.034 and 0.009, respectively. Conclusion We present a multi‐parametric approach for quantitatively assessing the concentration of gadolinium in vitro and in a hybrid in vivo/in vitro controlled setup using the accelerated MR‐STAT protocol. The concentration of gadobutrol in the range of 0.05–0.9 mM could be measured in a clinically applicable scan time using the proposed method, but needs further in vivo validation. 10.1002/mp.70155 http://creativecommons.org/licenses/by/4.0/
doi_str_mv 10.1002/mp.70155
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id wiley_oa_10_1002_mp_70155
institution Wiley Open Access
license_str_mv http://creativecommons.org/licenses/by/4.0/
publishDate 2025
publisher Wiley
record_format wiley_oa
spellingShingle Efficient estimation of gadolinium‐based contrast agent concentration using transient‐state keyhole MR‐STAT
Fei Xu
Edwin Versteeg
Hongyan Liu
Miha Fuderer
Oscar van den Heide
Wybe J. M. van der Kemp
Cornelis A. T. van den Berg
Alessandro Sbrizzi
Medical Physics
Efficient estimation of gadolinium‐based contrast agent concentration using transient‐state keyhole MR‐STAT Fei Xu Edwin Versteeg Hongyan Liu Miha Fuderer Oscar van den Heide Wybe J. M. van der Kemp Cornelis A. T. van den Berg Alessandro Sbrizzi Medical Physics Abstract Background Fast quantitative MRI (qMRI) techniques have emerged to quantify multiple tissue parameters from a single acquisition in clinically feasible scan times. To integrate fast qMRI techniques into a clinical MRI protocol, one needs to consider imaging after injection of a contrast agent (e.g., dynamic contrast‐enhanced [DCE] imaging). However, fully repeating the multi‐parametric scan after the injection requires lengthy scan times, which are impractical for tracking the contrast agent concentration. Purpose This work aimed to develop and validate an accelerated multi‐parametric method capable of estimating the concentration of Gadolinium‐based contrast agents (GBCAs) in a more time‐efficient way. Methods We designed an accelerated 2D Magnetic Resonance Spin TomogrAphy in Time‐domain (MR‐STAT) protocol and tested it on a 3T MRI scanner. This is achieved by combining transient‐state acquisitions with Cartesian keyhole‐based acceleration. Based on the reconstructed T 1 values, GBCA concentrations were quantified in phantoms containing water, manganese chloride, and five different concentrations of gadobutrol (Gadovist), ranging from 0.05 to 0.9 mM. Linear regression analysis between the estimated GBCA concentration and the reference values was performed to assess the accuracy. The GBCA concentration quantification method was then applied for synthetic patient data and a hybrid human/phantom study to demonstrate the feasibility of this method. Results The accelerated MR‐STAT protocol, with an undersampling factor of 4, provided accurate T 1 , T 2, and GBCA concentration measurements. Estimated GBCA concentrations were in a strong linear relationship with reference values, with a slope and intercept on simple linear regression analysis of 1.034 and 0.009, respectively. Conclusion We present a multi‐parametric approach for quantitatively assessing the concentration of gadolinium in vitro and in a hybrid in vivo/in vitro controlled setup using the accelerated MR‐STAT protocol. The concentration of gadobutrol in the range of 0.05–0.9 mM could be measured in a clinically applicable scan time using the proposed method, but needs further in vivo validation. 10.1002/mp.70155 http://creativecommons.org/licenses/by/4.0/
title Efficient estimation of gadolinium‐based contrast agent concentration using transient‐state keyhole MR‐STAT
topic Medical Physics
url https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.70155