Abstract #3043

Mathematically constrained intravoxel incoherent motion (IVIM)

Jiaqiu Wang¹, Thomas Barrick², Matt Hall³, Muge Karaman⁴, Richard Magin⁴, David Reiter⁵, Qianqian Yang⁶, Qiang Yu¹, Fatima Nasrallah ⁷, Weeyao Koh⁸, and Viktor Vegh^1,9

¹Centre for Advanced Imaging, University of Queensland, Brisbane, Australia, ²Neuroscience Research Centre, St George's, University of London, London, United Kingdom, ³National Physical Laboratory, Teddington, United Kingdom, ⁴Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, ⁵Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States, ⁶School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia, ⁷Queensland Brain Institute, University of Queensland, Brisbane, Australia, ⁸National University Cancer Institute Singapore, National University Hospital, Singapore, Singapore, ⁹ARC Training Centre for Innovation in Biomedical Imaging Technology, Brisbane, Australia

Synopsis

Intravoxel incoherent motion (IVIM) provides a method of mapping slow and fast diffusion using a two-exponential model. Whilst this method has been applied in acute stroke, brain cancer and muscle, for example, it does have challenges. These include how to best fit the three model parameters which on top of the two diffusion coefficients includes the fast diffusion volume fraction (i.e., perfusion fraction), and how to best sample b-values which lead to robust model parameter fits. Here we propose an approach based on quasi-diffusion which helps constrain the model fit and show reproducibility under different b-value sampling regimes.

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