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Abstract #0520

Direct Reconstruction of Tracer Kinetic Parameter Maps in Abbreviated Breast MRI

Arianna Brenes1,2, Zhengguo Tan2, Jonghyun Bae1, Eddy Solomon1, Erik Goesche3, Florian Knoll2, and Sungheon Gene Kim4
1Department of Radiology, Weill Cornell Medical College, New York City, NY, United States, 2Department of Artificial Intelligence in Biomedical Engineering, FAU Erlangen-Nuremberg, Erlangen, Germany, 3Department of Artificial Intelligence in Biomedical Engineering, FAU Erlangen-NurembergDepartment of Artificial Intelligence in Biomedical Engineering, Erlangen, Germany, 4Weill Cornell Medical College, Weill Cornell Medical College, New York City, NY, United States

Synopsis

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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