Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis

29Citations
Citations of this article
50Readers
Mendeley users who have this article in their library.

Abstract

Purpose: Magnetic resonance spectroscopic imaging (MRSI) provides complementary information to conventional magnetic resonance imaging. Acquiring high resolution MRSI is time consuming and requires complex reconstruction techniques. Methods: In this paper, a patch-based super-resolution method is presented to increase the spatial resolution of metabolite maps computed from MRSI. The proposed method uses high resolution anatomical MR images (T1-weighted and Fluid-attenuated inversion recovery) to regularize the super-resolution process. The accuracy of the method is validated against conventional interpolation techniques using a phantom, as well as simulated and in vivo acquired human brain images of multiple sclerosis subjects. Results: The method preserves tissue contrast and structural information, and matches well with the trend of acquired high resolution MRSI. Conclusions: These results suggest that the method has potential for clinically relevant neuroimaging applications.

Cite

CITATION STYLE

APA

Jain, S., Sima, D. M., Sanaei Nezhad, F., Hangel, G., Bogner, W., Williams, S., … Smeets, D. (2017). Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis. Frontiers in Neuroscience, 11. https://doi.org/10.3389/fnins.2017.00013

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free