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Abstract #2446

Nonlocal multispectral MRI upsampling for enhanced quality of high-resolution imaging reconstruction

Nikkita Khattar1, Richard G. Spencer1, and Mustapha Bouhrara1

1National Institute on Aging (NIA), National Institutes of Health (NIH), Baltimore, MD, United States

High-resolution (HR) image reconstruction, or upsampling, is used widely in MRI post-processing analyses including image segmentation and registration. The nonlocal means (NLM) upsampling approach is simple to implement and has demonstrated excellent performance for HR image reconstruction from low-resolution images. Here, we extend this to incorporate multispectral (MS) data sets in which multiple images are acquired over a variable acquisition parameter. Further, we show that the use of our recently introduced nonlocal estimation of multispectral magnitudes filter for upsampling further enhances the quality of the reconstructed HR images as compared with use of the NLM filter or its MS version.

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