The transmission of medical video over wireless channels requires the use of scalable Codecs, with error-resilient and error-concealment functionalities. A fundamental challenge in developing new methods for effective scalable coding of medical video is the careful and meaningful assessment of the coding performance. In this Chapter, we introduce a new, diagnostic approach to help guide the video compression process. A new segmentation method, based on multidimensional Amplitude-Modulation Frequency-Modulation (AM-FM) is introduced for segmenting motion-mode ultrasound video into diagnostically meaningful objects. Rate-distortion curves are provided to provide a measure of video quality-scalability within the framework of object-based coding.
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© 2006 Springer Science+Business Media, Inc.
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Rodriguez, P., Pattichis, M.S., Pattichis, C.S., Abdallah, R., Goens, M.B. (2006). Object-Based Ultrasound Video Processing for Wireless Transmission in Cardiology. In: Istepanian, R.S.H., Laxminarayan, S., Pattichis, C.S. (eds) M-Health. Topics in Biomedical Engineering. Springer, Boston, MA. https://doi.org/10.1007/0-387-26559-7_37
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DOI: https://doi.org/10.1007/0-387-26559-7_37
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-26558-2
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