Analyzing the effects of free water modeling by deep learning on diffusion MRI structural connectivity estimates in glioma patients.

ABSTRACT: Diffusion-weighted MRI makes it possible to quantify subvoxel brain microstructure and to reconstruct white matter fiber trajectories with which structural connectomes can be created. However, at the border between cerebrospinal fluid and white matter, or in the presence of edema, the obtained MRI signal originates from both the cerebrospinal fluid as well as from the white matter partial volume. Diffusion tractography can be strongly influenced by these free water partial volume effects. Thus, including a free water model can improve diffusion tractography in glioma patients. Here, we analyze how including a free water model influences structural connectivity estimates in healthy subjects as well as in brain tumor patients. During a clinical study, we acquired diffusion MRI data of 35 gli

SUBMITTER: Weninger L 

PROVIDER: S-EPMC7518620 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature