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Abstract #0721

Accuracy and precision of microscopy anisotropy estimation using q-space trajectory encoding - a model comparison study

Leevi Kerkelä1, Fabio Nery1, Feng-Lei Zhou2, Geoff J.M. Parker2,3,4, Filip Szczepankiewicz5,6,7, Matt G. Hall1,8, and Chris A. Clark1
1UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom, 2Centre for Medical Image Computing, University College London, London, United Kingdom, 3Bioxydyn Limited, Manchester, United Kingdom, 4CRUK and EPSRC Cancer Imaging Centre in Cambridge and Manchester, Manchester, United Kingdom, 5Department of Radiology, Brigham and Women’s Hospital, Boston, MA, United States, 6Harvard Medical School, Boston, MA, United States, 7Medical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden, 8National Physical Laboratory, Teddington, United Kingdom

Estimation of microscopic fractional anisotropy (μFA) using multidimensional diffusion MRI is a promising novel method for characterising clinically relevant microstructural properties of neural tissue. In this study, three commonly used methods for calculating μFA were compared by imaging a fibre phantom and healthy volunteers. Statistically significant differences were observed in accuracy and precision of the μFA estimates calculated using the covariance tensor model, the gamma distributed diffusivities model, and the direct regression approach. The differences between the methods have to be carefully considered when this promising new metric is applied in characterising microstructural properties of tissue or pathologies.

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