Nearly-lossless-to-lossy medical image compression by the optimized JPEGXT and JPEG algorithms through the anatomical regions of interest
Nearly-lossless-to-lossy medical image compression by the optimized JPEGXT and JPEG algorithms through the anatomical regions of interest
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DOI：
10.1016/j.bspc.2023.104711
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发表时间：
2023-02-23
影响因子：
5.1
通讯作者：
Xu, Jian
中科院分区：
文献类型：
--
作者：
Li, Zhongqiang;Ramos, Alexandra;Xu, Jian
目前，图像数据大量产生，使得存储和图像传输变得复杂。人们在如何提高压缩比（CR）而不丢失关键诊断信息方面做出了巨大的努力。在本研究中，我们通过放大离散余弦变换系数并使用整个解剖区域作为 ROI（感兴趣区域），设计了两种优化的 JPEGXT (JPEGXT_OPT) 和 JPEG (JPEG_OPT) 方法。我们发现ROI百分比对CR有很大影响：较小的ROI百分比（10-30%）可以获得较大的CR。在近乎无损压缩下，JPEGXT_OPT 在小 ROI 百分比 (10-30 %) 下的 CR 可以高达 4.0，而在大 ROI 百分比 (90-100 %) 下仅接近 1.2。 JPEG_OPT可以获得更高的CR：在小ROI百分比（10％-30％）下，CT和MRI图像均高达20.0以上，在大ROI百分比（90％）下，CT和MRI图像均超过10.0和5.0。它们的压缩效率均高于 DICOM 推荐的 JPEGXT 和 JEPG_2000。从失真分析来看，MSSIM（多尺度结构相似性）和 PRD（失真百分比）表明我们的方法比 DICOM 推荐的 JPEGXT（PDR > 20 %）和 JPEG_2000 具有更少的图像失真：在 JPEG_OPT 下看到大约 3.0 % PRD，而在 JPEG_OPT 中发现 0.98，重建的图像在亮度、对比度和结构上几乎没有变化，这低 PRD（约 3.0%）证实了这一点。总的来说，我们的两种方法可以提供医学图像的高压缩比，而不会显着丢失重建图像中的重要诊断信息。
Currently, plenty of image data is generated that complicate storage and image transmission. Great efforts have been attempted on how to increase compression ratio (CR) without loss of critical diagnostic information. In this study, we designed two optimized JPEGXT (JPEGXT_OPT) and JPEG (JPEG_OPT) approaches by amplifying discrete cosine transform coefficients and using the entire anatomical region as ROI (region of interest). We found that ROI percentages have a great impact CR: smaller ROI percentages (10-30 %) could obtain a larger CR. Under the near-lossless compression, JPEGXT_OPT could have CRs up to 4.0 under small ROI percentages (10-30 %), while only similar to 1.2 for large ROI percentages (90-100 %). JPEG_OPT could obtain a much higher CR: up to over 20.0 for both CT and MRI images under small ROI percentages (10 %-30 %), and over 10.0 in CT and 5.0 in MRI under large ROI percentages (90 %). Both of them show a compression efficiency than the DICOMrecommended JPEGXT and JEPG_2000. From the distortion analysis, MSSIM (Multiscale Structural Similarity) and PRD (percent ratio of distortion) indicate our methods have a less image distortion than DICOMrecommended JPEGXT (PDR > 20 %) and JPEG_2000: approximately 3.0 % PRD were seen under JPEG_OPT, while 0.98 was found in JPEG_OPT, which the reconstructed images have almost no changes in luminance, contrast, and structure, and this was confirmed by low PRD (about 3.0 %). Overall, our two methods could provide a high compression ratio of medical images without significant loss of important diagnostic information in reconstructed images.