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Abstract #1008

Biophysical modeling of the white matter: from theory towards clinical practice

Rafael Neto Henriques1, Chantal M. W. Tax2, Noam Shemesh3, and Jelle Veraart1,4

1Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 2CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom, 3Champalimaud Centre for the Unknown, Lisbon, Portugal, 4iMinds - Vision Lab, University of Antwerp, Antwerp, Belgium

We address the degeneracy of the diffusion standard model and improve the precision and accuracy in parameter estimation, thus promoting clinical applicability. Acquisition of additional data is not required; instead, we introduce a more robust and accurate estimator by fitting the standard model directly to diffusion-weighted data rather than its rotational invariants. We are able to overcome the implicit assumption of data being shelled in terms of b-values. This enables the correction of gradient nonlinearities to avoid biases in model parameter estimation, whereas revising the optimal experimental design demonstrates that non-shelled encoding schemes are favorable in terms of achievable precision.

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