Abstract #4239

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

Alice Hatt¹, Robert Lloyd^1,2, Bart Bolsterlee^1,3, and Lynne E. Bilston^1,4

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

Synopsis

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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