Keywords: Data Processing, Breast, Dynamic Contrast Enhanced MRI
Motivation: Quantitative assessment of DCE-MRI data as abbreviated breast MRI data is non-trivial as robust image reconstruction of highly undersampled DCE-MRI data with a short scan time remains challenging, especially to determine an optimal regularization method.
Goal(s): This study aims to develop a direct reconstruction of tracer kinetic parameter maps such that the temporal regularization is embedded in the reconstruction process.
Approach: The reconstruction method was assessed using numerically generated phantom data and realistic digital reference objects of breast MRI.
Results: The results suggest that the tracer kinetic parameter maps from the proposed direct reconstruction could differentiate malignant lesions from benign ones.
Impact: This proposed direct reconstruction method aims to streamline the complex image reconstruction and data analysis processes of DCE-MRI and has the potential to make DCE MRI a more efficient, faster, and accessible tool for breast cancer exams.
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