Medical Imaging
SYSTEM AND METHOD FOR CONFIDENCE MAPS FOR QUANTITATIVE MAPPING WITH MAGNETIC RESONANCE IMAGING
WARF: P230397US01
Inventors: Scott Reeder, Daiki Tamada
Overview
Proton density fat fraction (PDFF) and R2* estimated using quantitative chemical shift-encoded MRI (CSE-MRI) are well-established quantitative biomarkers of liver fat content. As such, CSE-MRI methods are FDA-approved to evaluate diseases such as non-alcoholic fatty liver disease and liver iron overload. More recently, R2* mapping with CSE-MRI been shown to be reproducible across vendors and calibrated to liver iron concentration (LIC, mgFe/g dry). Despite these efforts, reliable estimation of PDFF and R2* remains a challenge because of confounding factors, such as low signal-to-noise ratio (SNR), high iron content, inhomogeneous main magnetic field (B0), and motion.
The Invention
UW-Madison researchers have developed systems and methods for generating confidence maps that identify regions in quantitative maps (such as, for example, PDFF and R2* maps) that are valid for subsequent analysis by clinicians and/or automated algorithms. As such, clinical care is substantially improved by providing clinicians with the information needed to be certain that quantitative maps can be trusted, either for clinician analysis or automated processing.
Additional Information
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Tech Fields
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