MRI RESOLUTION ENHANCEMENT USING TOTAL VARIATION REGULARIZATION.

Proc IEEE Int Symp Biomed Imaging

Laboratory of Neuroimaging, University of California, Los Angeles, CA 90095, USA.

Published: August 2009

We propose a novel method for resolution enhancement for volumetric images based on a variational-based reconstruction approach. The reconstruction problem is posed using a deconvolution model that seeks to minimize the total variation norm of the image. Additionally, we propose a new edge-preserving operator that emphasizes and even enhances edges during the up-sampling and decimation of the image. The edge enhanced reconstruction is shown to yield significant improvement in resolution, especially preserving important edges containing anatomical information. This method is demonstrated as an enhancement tool for low-resolution, anisotropic, 3D brain MRI images, as well as a pre-processing step to improve skull-stripping segmentation of brain images.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990698PMC
http://dx.doi.org/10.1109/ISBI.2009.5193008DOI Listing

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