Slator PJ, Hutter J, Ianus A, Panagiotaki E, Rutherford MA, Hajnal J, Alexander DC (2019)
Publication Type: Conference contribution
Publication year: 2019
Publisher: Springer Heidelberg
Pages Range: 251-263
Conference Proceedings Title: Mathematics and Visualization
Event location: Granada, ESP
ISBN: 9783030058302
DOI: 10.1007/978-3-030-05831-9_20
We develop a framework for calculating clinically-viable diffusion MRI (dMRI) protocols for anisotropic IVIM modelling. The proposed multi-stage framework combines previous approaches to dMRI protocol optimisation: first optimising b-values by minimizing Cramer-Rao lower bounds on parameter variances, and subsequently optimising gradient directions jointly to provide maximum angular coverage across all shells. This removes unnecessary measurements of closely spaced b-values with the same gradient directions, which encode very similar information, and hence reduces the total number of dMRI measurements. We applied the framework to establish an organ-specific, data-driven, set of optimised b-values and gradient directions for dMRI of the placenta. The optimised protocol leads to higher contrast-to-noise ratios in parameter maps compared to a naive protocol of comparable scan time. Applying this framework in other organs has the potential to reduce scanning times required for anisotropic IVIM modelling.
APA:
Slator, P.J., Hutter, J., Ianus, A., Panagiotaki, E., Rutherford, M.A., Hajnal, J., & Alexander, D.C. (2019). A Framework for Calculating Time-Efficient Diffusion MRI Protocols for Anisotropic IVIM and An Application in the Placenta. In Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M.W. Tax (Eds.), Mathematics and Visualization (pp. 251-263). Granada, ESP: Springer Heidelberg.
MLA:
Slator, Paddy J., et al. "A Framework for Calculating Time-Efficient Diffusion MRI Protocols for Anisotropic IVIM and An Application in the Placenta." Proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2018 held with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, ESP Ed. Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M.W. Tax, Springer Heidelberg, 2019. 251-263.
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