Validation of a standardized MRI method for liver fat and T2* quantification

Dataset description: These data have been uploaded and shared as part of the manuscript  “Validation of a standardized MRI method for liver fat and T2* quantification, Chloe Hutton, Michael L. Gyngell, Matteo Milanesi, Alexandre Bagur, and Michael Brady, Perspectum Diagnostics, Oxford, United Kingdom", which was submitted for publication to PLOS ONE on August 27th 2018.

Details: The LMSIDEAL_Results.zip file extracts into 28 MATLAB files (MATLAB R2017b) corresponding to LMS IDEAL PDFF results calculated as described in the above manuscript for 28 sets of publicly-available phantom data available from another repository. The original phantom data can be accessed  from (http://dx.doi.org/10.5281/zenodo.48266) and are described in detail in [Hernando et al., Magn Reson Med. 2017;77:1516-1524. doi: 10.1002/mrm.26228. Epub 2016 Apr 15.].

To summarise, the original phantom data were acquired using one phantom at six sites, covering: 3 vendors (GE Healthcare, Siemens and Philips); 2 field strengths (1.5T and 3T); and 2 protocols. One of the six sites had two sets of data (one at the beginning of the phantom study and one at the end), to give (6+1)x2x2=28 sets of data in total. The phantom consisted of 11 vials with oil/water concentrations: 0%, 2.6%, 5.3%, 7.9%, 10.5%, 15.7%, 20.9%, 31.2%, 41.3%, 51.4%, 100%. The data from each system, and for each protocol, involved 6 echoes of complex-valued multi-echo gradient echo MR images.

Each of the 28 LMSIDEAL_Results_* MATLAB files contains 3 MAT files:

LMSIDEAL_PDFF   - contains PDFF maps (sized X x Y x 3 slices)

ROI - contains x,y coordinates for each ROI (sized 2 x 11) (circular ROI with diameter approximately = 19.5mm)

MEAN - contains mean for each slice and each ROI (sized 3 x 11)