High-Resolution, Low-Delay, and Error-Resilient Medical Ultrasound Video Communication Using H.264/AVC Over Mobile WiMAX Networks

In this study, we describe an effective video communication framework for the wireless transmission of H.264/AVC medical ultrasound video over mobile WiMAX networks. Medical ultrasound video is encoded using diagnostically driven, error resilient encoding, where quantization levels are varied as a f...

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Bibliographic Details
Published in:IEEE journal of biomedical and health informatics 2013-05, Vol.17 (3), p.619-628
Main Authors: Panayides, A., Antoniou, Z. C., Mylonas, Y., Pattichis, M. S., Pitsillides, A., Pattichis, C. S.
Format: Article
Language:English
Subjects:
Computer Communication Networks
Diagnostic region of interest (ROI)
e-health
Encoding
error resilience
flexible macroblock ordering (FMO)
H.264/AVC
HSPA
Humans
Image Processing, Computer-Assisted - methods
m-health
Medical diagnostic imaging
Mobile communication
Mobile computing
mobile WiMAX
Plaque, Atherosclerotic - diagnostic imaging
Streaming media
telemedicine
Telemedicine - methods
Ultrasonic imaging
Ultrasonography - methods
ultrasound video
video quality assessment (VQA)
Video Recording - methods
WiMAX
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Summary:In this study, we describe an effective video communication framework for the wireless transmission of H.264/AVC medical ultrasound video over mobile WiMAX networks. Medical ultrasound video is encoded using diagnostically driven, error resilient encoding, where quantization levels are varied as a function of the diagnostic significance of each image region. We demonstrate how our proposed system allows for the transmission of high-resolution clinical video that is encoded at the clinical acquisition resolution and can then be decoded with low delay. To validate performance, we perform OPNET simulations of mobile WiMAX medium access control and physical layers characteristics that include service prioritization classes, different modulation and coding schemes, fading channel's conditions, and mobility. We encode the medical ultrasound videos at the 4CIF (704×576) resolution that can accommodate clinical acquisition that is typically performed at lower resolutions. Video quality assessment is based on both clinical (subjective) and objective evaluations.
ISSN:2168-2194
2168-2208
DOI:10.1109/TITB.2012.2232675