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. 2024 Oct;92(4):1728-1742.
doi: 10.1002/mrm.30152. Epub 2024 May 22.

Digital reference object toolkit of breast DCE MRI for quantitative evaluation of image reconstruction and analysis methods

Jonghyun Bae  1   2   3   4 , Zhengguo Tan  5 , Eddy Solomon  4 , Zhengnan Huang  1   2   3 , Laura Heacock  2   3 , Linda Moy  2   3 , Florian Knoll  5 , Sungheon Gene Kim  4
Affiliations

Digital reference object toolkit of breast DCE MRI for quantitative evaluation of image reconstruction and analysis methods

Jonghyun Bae et al. Magn Reson Med. 2024 Oct.

Abstract

Purpose: To develop a digital reference object (DRO) toolkit to generate realistic breast DCE-MRI data for quantitative assessment of image reconstruction and data analysis methods.

Methods: A simulation framework in a form of DRO toolkit has been developed using the ultrafast and conventional breast DCE-MRI data of 53 women with malignant (n = 25) or benign (n = 28) lesions. We segmented five anatomical regions and performed pharmacokinetic analysis to determine the ranges of pharmacokinetic parameters for each segmented region. A database of the segmentations and their pharmacokinetic parameters is included in the DRO toolkit that can generate a large number of realistic breast DCE-MRI data. We provide two potential examples for our DRO toolkit: assessing the accuracy of an image reconstruction method using undersampled simulated radial k-space data and assessing the impact of the B 1 + $$ {\mathrm{B}}_1^{+} $$ field inhomogeneity on estimated parameters.

Results: The estimated pharmacokinetic parameters for each region showed agreement with previously reported values. For the assessment of the reconstruction method, it was found that the temporal regularization resulted in significant underestimation of estimated parameters by up to 57% and 10% with the weighting factor λ = 0.1 and 0.01, respectively. We also demonstrated that spatial discrepancy of v p $$ {v}_p $$ and PS $$ \mathrm{PS} $$ increase to about 33% and 51% without correction for B 1 + $$ {\mathrm{B}}_1^{+} $$ field.

Conclusion: We have developed a DRO toolkit that includes realistic morphology of tumor lesions along with the expected pharmacokinetic parameter ranges. This simulation framework can generate many images for quantitative assessment of DCE-MRI reconstruction and analysis methods.

Keywords: GRASP; digital reference object; dynamic contrast‐enhanced MRI; ultrafast DCE MRI.

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