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Abstract #4239

Non-rigid registration of DIXON images is an accurate method for calculating physiological strain in adipose tissue

Alice Hatt1, Robert Lloyd1,2, Bart Bolsterlee1,3, and Lynne E. Bilston1,4
1NeuRA, Sydney, Australia, 2School of Medical Sciences, University of New South Wales, Sydney, Australia, 3Graduate School of Biomedical Engineering, University of New South Wales, 2052, Australia, 4Faculty of Medicine, University of New South Wales, Sydney, Australia


To accurately map the large deformation properties of soft tissues, accurate, in-vivo measurements of internal strain are essential. In this study, the Right Cauchy Green strain of adipose tissue was calculated from displacements generated through the non-rigid registration of mDIXON images under increasing compression. The method was validated by synthetically deforming an uncompressed image with compression. Five real-world datasets were acquired of adipose tissue under increasing compression, which resulted in significant increases in the maximum principal strain (one-way ANOVA, p<0.001). The described method provides an accurate quantification of physiological strains in adipose tissue that is essential for mapping strain-varying viscoelasticity.

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