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Data adaptive regularization with reference tissue constraints for liver quantitative susceptibility mapping
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DOI：10.1002/mrm.29644.png)
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Abstract
En 中文
Purpose: To improve repeatability and reproducibility across acquisition parameters and reduce bias in quantitative susceptibility mapping (QSM) of the liver, through development of an optimized regularized reconstruction algorithm for abdominal QSM. Methods: An optimized approach to estimation of magnetic susceptibility distribution is formulated as a constrained reconstruction problem that incorporates estimates of the input data reliability and anatomical priors available from chemical shift-encoded imaging. The proposed data-adaptive method was evaluated with respect to bias, repeatability, and reproducibility in a patient population with a wide range of liver iron concentration (LIC). The proposed method was compared to the previously proposed and validated approach in liver QSM for two multi-echo spoiled gradient-recalled echo protocols with different acquisition parameters at 3T. Linear regression was used for evaluation of QSM methods against a reference FDA-approved R-2-based LIC measure and R-2(*) measurements; repeatability/reproducibility were assessed by Bland-Altman analysis. Results: The data-adaptive method produced susceptibility maps with higher subjective quality due to reduced shading artifacts. For both acquisition protocols, higher linear correlation with both R-2(-) and R-2(*)-based measurements were observed for the data-adaptive method (r(2)=0.74/0.69 for R-2, 0.97/0.95 for R-2(*)) than the standard method (r(2)=0.60/0.66 and 0.79/0.88). For both protocols, the data-adaptive method enabled better test-retest repeatability (repeatability coefficients 0.19/0.30 ppm for the data-adaptive method, 0.38/0.47 ppm for the standard method) and reproducibility across protocols (reproducibility coefficient 0.28 vs. 0.53ppm) than the standard method. Conclusions: The proposed data-adaptive QSM algorithm may enable quantification of LIC with improved repeatability/reproducibility across different acquisition parameters as 3T.
Keywords:
iron
liver
QSM
susceptibility
Journal
IF:
3
Papers:
1.2W
Citations:
3.1W
