Joint MR image super-resolution reconstruction and sparse coefficients estimation
by Di Zhang; Jiazhong He; Minghui Du
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 19, No. 4, 2015

Abstract: The spatial resolution of magnetic resonance (MR) image is determined by various instrumental limitations and physical considerations. This paper presents a new approach to MR image super-resolution reconstruction. Specifically, we incorporate nonlocal similarity, natural image prior, and sparsity prior into a unified, non-convex minimisation functional that contains both the unknown high-resolution image and the sparse coefficients. We also develop a majorisation-minimisation (MM) approach to solve the target non-convex functional. Experiments on MR image super-resolution reconstruction validate the efficiency of the proposed method.

Online publication date: Wed, 02-Dec-2015

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