Meeting Banner
Abstract #0404

Enforcing positivity constraints in Q-space Trajectory Imaging (QTI) allows for reduced scan time

Deneb Boito1,2, Magnus Herberthson3, Tom Dela Haije4, and Evren Özarslan1,2
1Department of Biomedical Engineering, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden, 3Department of Mathematics, Linköping University, Linköping, Sweden, 4Department of Computer Science, University of Copenhagen, Copenhagen, Denmark

We explore the feasibility of reducing scan time while retaining interpretable results when analysing multidimensional diffusion MRI data. The methods commonly employed for the estimation of the QTI model parameters might suffer severely from data under-sampling, making their use limited in clinical practice where acquisition time is limited. We show that by imposing relevant positivity constraints in the estimation of the mean, covariance, and moment tensors, the QTI+ framework strongly improves the quality of the derived maps, particularly so for data acquisition protocols featuring few number of volumes.

This abstract and the presentation materials are available to members only; a login is required.

Join Here