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Abstract #2306

On gamma variate fitting for perfusion quantification in the lung.

Marta Tibiletti1, Jo Naish1,2, Matthew J. Heaton1, Paul JC Hughes3, Jim Wild3, and Geoff JM Parker1,4
1Bioxydyn Ltd, Manchester, United Kingdom, 2Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom, 3POLARIS, , Academic Radiology, Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom, 4Centre for Medical Image Computing, University College London, London, United Kingdom

Application of first pass imaging to the lung is a promising technique. The majority of works apply a Singular Value Decomposition (SVD) with or without a prior fit to a gamma variate function to the concentration-time curve. In this study we compare lung perfusion quantification with and without 2 versions of the gamma-variate fitting in data from 66 patients with Interstitial lung disease. We found that the presence and choice of gamma variate fitting has an influence on perfusion parameters, but this is generally very small, except for mean transit time, suggesting that these approaches are broadly equivalent in practice.

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