Image-Guided Spatial Localization of Heterogeneous Compartments by Compressed Sensing
Li An 1 and Jun Shen 1
National Institute of Mental Health,
National Institutes of Health, Bethesda, MD, United
Image-guided compartmental localization allows the
extraction of spectra or other tissue parameters from
anatomical compartments with irregularly shaped
boundaries using very few scans. Here we propose a novel
method to take into consideration of biologically
inhomogeneous signal distribution within each
compartment. We first subdivide each compartment into
multiple smaller subcompartments to capture
intra-compartment heterogeneous signal distribution and
then use compressed sensing for regularization.
Application of this new method to single-shot separation
of MRS signals from stroke and normal tissue
compartments is demonstrated.
This abstract and the presentation materials are available to members only;
a login is required.