Title :
Using 3D-SHORE and MAP-MRI to obtain both tractography and microstructural constrast from a clinical DMRI acquisition
Author :
Fick, R.H.J. ; Zucchelli, M. ; Girard, G. ; Descoteaux, M. ; Menegaz, G. ; Deriche, R.
Author_Institution :
Athena Project-Team, Inria Sophia Antipolis - Mediterranee, Sophia Antipolis, France
Abstract :
Diffusion MRI (dMRI) is used to characterize the directionality and microstructural properties of brain white matter (WM) by measuring the diffusivity of water molecules. In clinical practice the number of dMRI samples that can be obtained is limited, and one often uses short scanning protocols that acquire just 32 to 64 different gradient directions using a single gradient strength (b-value). Such `single shell´ scanning protocols restrict one to use methods that have assumptions on the radial decay of the dMRI signal over different b-values, which introduces estimation biases. In this work we show, that by simply spreading the same number of samples over multiple b-values (i.e. multi-shell) we can accurately estimate both the WM directionality using 3D-SHORE and characterize the radially dependent diffusion microstructure measures using MAP-MRI. We validate our approach by undersampling both noisy synthetic and human brain data of the Human Connectome Project, proving this approach is well-suited for clinical applications.
Keywords :
biodiffusion; biomedical MRI; brain; medical image processing; 3D SHORE; Human Connectome Project; MAP-MRI; brain white matter directionality; brain white matter microstructural properties; clinical DMRI acquisition; dMRI signal radial decay; diffusion MRI; human brain data; microstructural constrast; multishell scanning protocols; noisy synthetic brain data; radially dependent diffusion microstructure measures; tractography; water molecule diffusivity; Anisotropic magnetoresistance; Estimation; Magnetic resonance imaging; Microstructure; Nerve fibers; Robustness; Tensile stress; 3D-SHORE; Clinical Applications; Estimation Bias; MAP-MRI; Sparsity;
Conference_Titel :
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference_Location :
New York, NY
DOI :
10.1109/ISBI.2015.7163905