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Abstract #4215

Evaluation of Slope-Based Hepatic Perfusion Index Quantification Methods Against Dual-Input Kinetic Model Based Approach

Keiko Miyazaki1, Matthew R. Orton1, Dow-Mu Koh1, V Lewington2, David Atkinson3, David J. Hawkes3, Martin O. Leach1, David J. Collins1

1Cancer Research UK Clinical Magnetic Resonance Research Group, The Institute of Cancer Research, Sutton, Surrey, UK; 2Department of Nuclear Medicine and PET, The Royal Marsden NHS Foundation Trust, Sutton, UK; 3Centre for Medical Image Computing, University College London, London, UK

The hepatic perfusion index can be quantified using slope-based methods which are simpler to compute and easier to implement in clinical settings compared with dual-input kinetic modelling methods. In this study, HPI was evaluated using two slope-based methods (the Miles method and a modified Blomley method). These were compared with parameters derived using a dual-input single compartment model with population-averaged input functions. It was found that the Miles method overestimates the HPI in the surrounding liver tissue whilst the modified Blomley method produces HPI values that are in good agreement with both the model-derived and previously published literature values.