Telemedicine + OCT: toward design of optimized algorithms for high-quality compressed images

Mahta Mousavi; Kristen Lurie; Julian Land; Tara Javidi; Audrey K. Ellerbee

doi:10.1117/12.2038530

4 March 2014 Telemedicine + OCT: toward design of optimized algorithms for high-quality compressed images

Mahta Mousavi, Kristen Lurie, Julian Land, Tara Javidi, Audrey K. Ellerbee

Proceedings Volume 8936, Design and Quality for Biomedical Technologies VII; 893608 (2014) https://doi.org/10.1117/12.2038530
Event: SPIE BiOS, 2014, San Francisco, California, United States

Abstract

Telemedicine is an emerging technology that aims to provide clinical healthcare at a distance. Among its goals, the transfer of diagnostic images over telecommunication channels has been quite appealing to the medical community. When viewed as an adjunct to biomedical device hardware, one highly important consideration aside from the transfer rate and speed is the accuracy of the reconstructed image at the receiver end. Although optical coherence tomography (OCT) is an established imaging technique that is ripe for telemedicine, the effects of OCT data compression, which may be necessary on certain telemedicine platforms, have not received much attention in the literature. We investigate the performance and efficiency of several lossless and lossy compression techniques for OCT data and characterize their effectiveness with respect to achievable compression ratio, compression rate and preservation of image quality. We examine the effects of compression in the interferogram vs. A-scan domain as assessed with various objective and subjective metrics.

Citation Download Citation

Mahta Mousavi, Kristen Lurie, Julian Land, Tara Javidi, and Audrey K. Ellerbee "Telemedicine + OCT: toward design of optimized algorithms for high-quality compressed images", Proc. SPIE 8936, Design and Quality for Biomedical Technologies VII, 893608 (4 March 2014); https://doi.org/10.1117/12.2038530

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