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Abstract #2460

A Novel Algorithm for Improved Pixel-By-Pixel T2* Mapping

Yanqiu Feng1, Peter David Gatehouse2, 3, David N. Firmin2, 3, Dudley J. Pennell2, 3, Wufan Chen1, Taigang He2, 3

1School of Biomedical Engineering, Southern Medical University, Guangzhou, China; 2Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, London, United Kingdom; 3National Heart and Lung Institute, Imperial College, London, United Kingdom

MRI relaxometry mapping (pixel-by-pixel) is sensitive to the noise especially when high-resolution or rapid scans are required. Considering decay signals as the objects to be averaged, we aimed at improving the precision of T2* mapping through selectively Averaging the Decay signals with Similar Underlying Relaxation rates (ADSUR) before curve fitting. This novel algorithm was tested on T2* mapping of simulation data and an ex vivo heart with iron overload. The results demonstrate that the T2* relaxometry mapping can be improved by filtering the serial images with the proposed ADSUR algorithm, independent of curve-fitting models used.