Abstract #0076

Confidence Maps for Reliable Proton Density Fat-Fraction and R2* Estimation

Daiki Tamada¹, Rianne A Van der Heijden¹, Diego Hernando^1,2,3,4, and Scott B Reeder^1,2,4,5,6

¹Radiology, University of Wisconsin-Madison, Madison, WI, United States, ²Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, ³Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States, ⁴Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, ⁵Medicine, University of Wisconsin-Madison, Madison, WI, United States, ⁶Emergency, University of Wisconsin-Madison, Madison, WI, United States

Synopsis

Keywords: Data Processing, Artifacts, CSE-MRIIn this work we develop a confidence map algorithm to identify reliable estimates of PDFF and R2* for CSE-MRI in the liver. Reliability of estimates is evaluated based on a normalized root-mean-square-error (NRMSE) between measured and model signals. Threshold values of the NRMSE are determined by using the Cramér–Rao Lower Bound. Monte-Carlo simulations and clinical CSE-MRI successfully validate the proposed method.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.