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.
Highlights
With the proliferation of digitalization processes in modern hospitals, digital medical video plays an increasingly important role in the diagnosis and treatment of diseases
For the purposes of solving low-efficiency problems in recent medical communication systems represented by the JPEG or JPEG2000 coding standard, innovative studies regarding d-ROI-based hierarchical coding strategy are presented in this paper for medical ultrasound video
ROIs were accurately obtained by using textural information as the mainly visual feature, which can improve the applicability of ROI extraction results compared to traditionally shaped ROIs
Summary
With the proliferation of digitalization processes in modern hospitals, digital medical video plays an increasingly important role in the diagnosis and treatment of diseases. A few segments of medical video are associated with clinical diagnoses; these are referred to as diagnostic-regions-of-interest (d-ROIs, hereinafter referred to as ROIs) In this context, ROI-based medical video hierarchical coding technologies with respect to the JPEG standard have been thoroughly studied. This limitation might constitute a serious obstacle for special quad-tree coding structures when the traditionally shaped ROIs are directly used in the H.265/HEVC standard. It is of great significance to design a hierarchical coding mechanism based on a properly shaped ROI extraction strategy for medical video compression. To reduce the coding bit-rate while maintaining acceptable visual quality, two key techniques in medical video compression with respect to ROI extraction and hierarchical coding are presented in this paper.
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