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Abstract #2761

A novel approach to derive robust arterial input functions for DCE-MRI in small animals

Ebony Rosalind Gunwhy1, Sirisha Tadimalla2, John C. Waterton3,4, Paul D. Hockings5,6, Gunnar Schütz7, Claudia Green7, J. Gerry C. Kenna4, and Steven Sourbron1
1Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom, 2Institute of Medical Physics, The University of Sydney, Sydney, Australia, 3Centre for Imaging Sciences, Division of Informatics Imaging & Data Sciences, School of Health Sciences, Faculty of Biology Medicine & Health, University of Manchester, Manchester, United Kingdom, 4Bioxydyn Ltd, Manchester Science Park, Manchester, United Kingdom, 5BioVentureHub, Antaros Medical, Mölndal, Sweden, 6MedTech West, Chalmers University of Technology, Gothenburg, Sweden, 7MR & CT Contrast Media Research, Bayer AG, Berlin, Germany

Synopsis

Keywords: Validation, Animals, Arterial input functions, small animals, spleen, liver

Accurate biomarker quantification is hindered in small animal MRI due to difficulties in reliably deriving arterial input functions (AIFs). This study provides a robust alternative to commonly used approaches by deriving AIFs from a simple, whole-body circulation model. This method is compared with individual and population spleen-derived AIFs by evaluating performance in gadoxetate DCE-MRI of the rat liver. Results demonstrated that the whole-body circulation model-derived AIF yields greater repeatability, reproducibility, and goodness-of-fit to observed data, indicating that it provides more accurate biomarker quantification than the individual or population spleen-derived AIFs.

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Keywords