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Objective analysis and bit rate analysis of HEVC compressed 4D-fMRI images

机译:HEVC压缩4D-fMRI图像的客观分析和比特率分析

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Medical imaging and clinical diagnostics are complementary to one another since their analysis is typical and contains critical information. The growing volume of data has become one of the biggest challenges, as the acquisition of medical modalities is currently having high resolution from the improved and efficient machines (3 to 7 T or more). Moreover, image and video compression is a need with the consideration that there should not be any gap for losing the important information. Less bitrate requirement with high compression ratio without sacrificing important detail is a challenge these days. The current study, is dealing with the compression of 4D-functional medical resonance images (fMRI) with a codec, that is, high-efficient video coding (HEVC/H.265) and its objective analysis along with its predecessor that is advanced video coding (AVC/H.264) and with VP8 (WebM Project of Google) reported here. Further, the bit rate analysis that has been conducted, also accounts in conjunction with the bitrate investigation, which is an imperative perspective vital for the telemedicine field. The simulation results reported here represents the compression ratio (CR = 118.23:1) with HEVC/H.265 codec over the compression ratio (CR = 20.52:1) provided by AVC/H.264 and VP8 (CR = 78.29:1). There has been significant improvement observed in alignment of the peak signal-to-noise ratio (APSNR), structural similarity (SSIM), and mean squared error (MSE) metrics. Overall, the performance of the anticipated technique is satisfactory for the forthcoming telemedicine or clinical use.
机译:医学成像和临床诊断是相互补充的,因为它们的分析是典型的并且包含关键信息。数据量的增长已成为最大的挑战之一,因为从改进和高效的机器(3到7 T或更高)中获得医疗模式目前具有高分辨率。而且,考虑到不应丢失重要信息的任何间隙,需要图像和视频压缩。如今,在不牺牲重要细节的情况下以较低的压缩率实现更高的比特率要求已成为一个挑战。当前的研究是使用编解码器(即高效视频编码(HEVC / H.265))处理4D功能医学共振图像(fMRI)及其目标分析以及其前身是高级视频。编码(AVC / H.264)和VP8(Google的WebM项目)在此处报告。此外,已经进行的比特率分析还与比特率研究结合在一起,这对于远程医疗领域至关重要。此处报告的模拟结果代表了HEVC / H.265编解码器的压缩率(CR = 118.23:1)超过AVC / H.264和VP8提供的压缩率(CR = 20.52:1)(CR = 78.29:1) 。在峰值信噪比(APSNR),结构相似性(SSIM)和均方误差(MSE)度量的对齐方面,已观察到显着改善。总体而言,预期技术的性能对于即将到来的远程医疗或临床使用是令人满意的。

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