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Abstract #2067

On the feasibility of data-driven estimation of Markov random field parameters for IVIM modelling of abdominal DW-MRI: insights into which parameters can be reliably estimated from clinical data

Matthew R Orton1, Neil P Jerome1, Mihaela Rata1, David J Collins1, Khurum Khan2, Nina Tunariu3, David Cunningham2, Thorsten Feiweier4, Dow-Mu Koh3, and Martin O Leach1

1CRUK Cancer Imaging Centre, Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom, 2Department of Medical Oncology, Royal Marsden NHS Foundation Trust, London, United Kingdom, 3Department of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom, 4Siemens Healthcare, Erlangen, Germany

The intravoxel incoherent motion model is of great interest as it gives a more complete characterization of DWI signals. However, estimates of the pseudo-diffusion coefficient D* are noisy, which can be mitigated using Markov random field (MRF) models. The MRF smoothing weights are usually subjectively chosen; by removing this requirement, we show that while the smoothing weights for the pseudo-diffusion volume fraction and diffusion coefficient can be estimated from the data, smoothing weights for D* cannot. This suggests that with currently available data, D* estimates require stabilization by imposing subjective constraints of some kind, such as the MRF used here.

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