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Abstract #0177

Simplified Anisotropic IVIM using Spherical Means and an Application in the Placenta

Paddy J. Slator1,2, Luke Pleva3,4, Lucy Higgins5,6, Edward Johnstone5,6, Alexander Heazell5,6, Daniel C. Alexander7, Josephine H. Naish3,4, and Kate Duhig5,6
1Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom, 2School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, 3BHF Manchester Centre for Heart and Lung Magnetic Resonance Research, University of Manchester, Manchester, United Kingdom, 4Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom, 5Maternal and Fetal Health Research Centre, Institute of Human Development, University of Manchester, Manchester, United Kingdom, 6St. Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, University of Manchester, Manchester, United Kingdom, 7Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom

Synopsis

Keywords: Placenta, Placenta

Motivation: The intravoxel incoherent motion (IVIM) model can separately assess diffusion in tissue and perfusion in vasculature. However, anisotropic extensions to IVIM that model coherently orientated vasculature are complex and difficult to fit.

Goal(s): Enhance the IVIM model to account for macroscopic anisotropy in vascular structures, while minimizing the increase in model complexity.

Approach: We model perfusion and diffusion compartments using constrained tensors and estimate the tensor parameters via the spherical mean.

Results: Our spherical mean anisotropic IVIM approach quantifies and maps anisotropy in perfusion and diffusion compartments and captures microstructural and microcirculatory alterations in the placenta during pregnancy.

Impact: Existing anisotropic IVIM models are complex and clinically impractical. We demonstrate a spherical mean approach that simplifies the disentanglement of perfusion- and diffusion-related anisotropy. This can enable rapid quantification of biomarkers for detecting microcirculatory and microstructural changes in anisotropic tissue.

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