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Super-Resolution Imaging

New applications of super-resolution in medical imaging

Publication ,  Chapter
Robinson, MD; Chiu, SJ; Toth, CA; Izatt, JA; Lo, JY; Farsiu, S
January 1, 2017

The image processing algorithms collectively known as super-resolution have proven effective in producing high-quality imagery from a collection of low-resolution photographic images. In this chapter, we examine some of the advantages and challenges of applying the super-resolution framework to applications in medical imaging. We describe two novel applications in detail. The first application addresses the problem of improving the quality of digital mammography imaging systems while reducing X-ray radiation exposure. The second application addresses the problem of improving the spatiotemporal resolution of spectral domain optical coherence tomography systems in the presence of uncontrollable patient motion. Experimental results on real data sets confirm the effectiveness of the proposed methodologies.

Duke Scholars

DOI

ISBN

9781439819302

Publication Date

January 1, 2017

Start / End Page

383 / 412
 

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Robinson, M. D., Chiu, S. J., Toth, C. A., Izatt, J. A., Lo, J. Y., & Farsiu, S. (2017). New applications of super-resolution in medical imaging. In Super-Resolution Imaging (pp. 383–412). https://doi.org/10.1201/9781439819319
Robinson, M. D., S. J. Chiu, C. A. Toth, J. A. Izatt, J. Y. Lo, and S. Farsiu. “New applications of super-resolution in medical imaging.” In Super-Resolution Imaging, 383–412, 2017. https://doi.org/10.1201/9781439819319.
Robinson MD, Chiu SJ, Toth CA, Izatt JA, Lo JY, Farsiu S. New applications of super-resolution in medical imaging. In: Super-Resolution Imaging. 2017. p. 383–412.
Robinson, M. D., et al. “New applications of super-resolution in medical imaging.” Super-Resolution Imaging, 2017, pp. 383–412. Scopus, doi:10.1201/9781439819319.
Robinson MD, Chiu SJ, Toth CA, Izatt JA, Lo JY, Farsiu S. New applications of super-resolution in medical imaging. Super-Resolution Imaging. 2017. p. 383–412.
Journal cover image

DOI

ISBN

9781439819302

Publication Date

January 1, 2017

Start / End Page

383 / 412