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Abstract #0989

Image-Guided Spatial Localization of Heterogeneous Compartments by Compressed Sensing

Li An 1 and Jun Shen 1

1 National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States

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.

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