2008 | OriginalPaper | Buchkapitel
Application of Tikhonov Regularization to Super-Resolution Reconstruction of Brain MRI Images
verfasst von : Xin Zhang, Edmund Y. Lam, Ed X. Wu, Kenneth K. Y. Wong
Erschienen in: Medical Imaging and Informatics
Verlag: Springer Berlin Heidelberg
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This paper presents an image super-resolution method that enhances spatial resolution of MRI images in the slice-select direction. The algorithm employs Tikhonov regularization, using a standard model of imaging process and reformulating the reconstruction as a regularized minimization task. Our experimental result shows improvements in both signal-to-noise ratio and visual quality.