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Abstract

High-efficiency video compression technology is of primary importance to the storage and transmission of digital medical video in modern medical communication systems. To further improve the compression performance of medical ultrasound video, two innovative technologies based on diagnostic region-of-interest (ROI) extraction using the high efficiency video coding (H.265/HEVC) standard are presented in this paper. First, an effective ROI extraction algorithm based on image textural features is proposed to strengthen the applicability of ROI detection results in the H.265/HEVC quad-tree coding structure. Second, a hierarchical coding method based on transform coefficient adjustment and a quantization parameter (QP) selection process is designed to implement the otherness encoding for ROIs and non-ROIs. Experimental results demonstrate that the proposed optimization strategy significantly improves the coding performance by achieving a BD-BR reduction of 13.52% and a BD-PSNR gain of 1.16 dB on average compared to H.265/HEVC (HM15.0). The proposed medical video coding algorithm is expected to satisfy low bit-rate compression requirements for modern medical communication systems.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1

Examples of traditional ROIs (a)…

Fig 1

Examples of traditional ROIs (a) Original, (b) Sector ROI, and (c) Irregularly shaped…

Fig 2

Relationship between ROI partition and…

Fig 2

Relationship between ROI partition and (a) mean, (b) standard deviation, and (c) entropy.

Fig 3. ROI CU extraction framework.

Fig 3. ROI CU extraction framework.

Fig 4

ROI extraction result based on…

Fig 4

ROI extraction result based on HEVC quad-tree coding structure (a) original frame, (b)…

Fig 5. Hierarchical coding framework of the…

Fig 5. Hierarchical coding framework of the proposed method.

Fig 6. Comparison of the coding bit-rate.

Fig 6. Comparison of the coding bit-rate.

Fig 7. Comparison of the R-D performance.

Fig 7. Comparison of the R-D performance.

All figures (7) See this image and copyright information in PMC

References

1. 1. Panayides AS, Pattichis MS, Constantinides AG, Pattichis CS. M-health medical video communication systems: an overview of design approaches and recent advances. In: Proc 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2013. pp. 7253–7256. doi: 10.1109/EMBC.2013.6611232 - DOI - PubMed
2. 1. Sullivan GJ, Ohm J, Han W, Wiegand T. Overview of the high efficiency video coding (HEVC) standard. IEEE Trans Circuits Syst Video Technol. 2012;22: 1649–1668. 10.1109/TCSVT.2012.2221191 - DOI
3. 1. Hanhart P, Rerabek M, Korshunov P, Ebrahimi, T. AhG4: subjective evaluation of HEVC intra coding for still image compression. Joint Collaborative Team on Video Coding (JCT-VC) of ITU-T SG. 2013;16.
4. 1. Panayides A, Antoniou Z, Pattichis MS, Pattichis CS, Constantinides AG. High efficiency video coding for ultrasound video communication in m-health systems. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2012. pp. 2170–2173. doi: 10.1109/EMBC.2012.6346391 - DOI - PubMed
5. 1. Panayides A, Pattichis MS, Pattichis CS. HEVC encoding for reproducible medical ultrasound video diagnosis. Proc 2013 Asilomar Conference on Signals, Systems and Computers, IEEE; 2013. pp. 1117–1121.

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