The Department of Computer Science at the University of Cyprus cordially invites you to the PhD Defense entitled:
Diagnostically Resilient Encoding, Wireless Transmission, and Quality Assessment of Medical Video
Speaker: Andreas Panayides
A new framework for effective communication and evaluation of wireless medical video over error-prone channels is proposed. Motivated by the need to efficiently address unique requirements associated with medical video source encoding, wireless transmission, and quality assessment, a unified framework which addresses individual requirement is developed. The envisioned utilization scenarios target remote diagnosis and care and emergency situations. The approach is based on a spatially varying encoding scheme, where video slice quantization parameters are varied as a function of diagnostic significance. Video slices are automatically set based on a segmentation algorithm. They are then encoded using a modified version of H.264/AVC Flexible Macroblock Ordering (FMO) technique that allows variable quality slice encoding and Redundant Slices (RS) for resilience over error prone transmission mediums. Evaluation of the proposed scheme is performed on a representative collection of ten (10) ultrasound videos, nine of the carotid and one of the femoral arteries, for packet loss rates up to 30%. Extensive simulations incorporating three FMO encoding methods, different quantization levels and display resolutions, and different packet loss scenarios are investigated. Quality assessment is based on a new clinical rating system that provides for independent evaluations of the different parts of the video (subjective). Objective video quality assessment metrics are also employed and their correlation to the clinical quality assessment of plaque type is derived. To this end, some objective quality assessment measures computed over the plaque video slices gave very good correlations to Mean Opinion Scores (MOS). Here, MOS were computed using two medical experts. Experimental results show that the proposed method achieves enhanced performance in noisy environments, while at the same time achieving significant bandwidth demands reductions, providing for transmission over 3G (and beyond) wireless networks. The proposed unified framework can be applied with minor modifications to other medical modalities.
Andreas Panayides is a PhD candidate in the Computer Science Department of the University of Cyprus. He received the B.Sc. degree from the department of Informatics and Telecommunications of the National and Kapodistrian University of Athens in 2004, and the M.Sc. degree in Computing and Internet Systems from KINGS College in 2005. His research interests include video processing and communications, eHealth applications, and mobile telecommunication networks. His PhD funding came from the project “Real-Time Wireless Transmission of Medical Ultrasound Video” funded by the Research Promotion Foundation (RPF) of Cyprus and the European Regional Development Fund (ERDF). He has been a research associate at the department of Computer Science of University of Cyprus since 2006, where he has been involved in IST-funded project C-MOBILE and RPF-funded project MARTE-III.
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