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Abstract #2598

New linear IVIM model yields accurate perfusion fraction, with fast fitting, image acquisition, and uncertainty estimates.

Annemarie Karolin Knill1,2, Jessica Mary Winfield1,2, Dow-Mu Koh1,2, Christina Messiou1,2, and Matthew David Blackledge1
1The Institute of Cancer Research, London, United Kingdom, 2The Royal Marsden NHS Foundation Trust, London, United Kingdom

Synopsis

Keywords: IVIM, Diffusion/other diffusion imaging techniques, Sarcoma

Motivation: Intra-voxel incoherent motion imaging (IVIM) suffers from long acquisition times due to the number of low b-values typically required, which limits clinical use.

Goal(s): To develop a faster linearised method of IVIM modelling requiring fewer b-values to approximate the perfusion fraction with uncertainty estimation.

Approach: Compare our linear IVIM fitting using 4 b-values and with conventional biexponential modelling using 8 b-values in 26 patients with retroperitoneal sarcoma.

Results: Strong agreement in perfusion fraction estimates between the two models.

Impact: The proposed linear model could estimate the perfusion fraction and associated uncertainty in a broader range of clinical applications where acquisition time may be constrained (body DWI for example).

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Keywords