Image Data Used in the Simulations of The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends (Image-Compression-Simulation)

These are the 3D image data used in the simulations of the paper "The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends". 10 series per collection were selected from CT COLONOGRAPHY (ACRIN 6664), Data from The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans (LIDC-IDRI), The Cancer Genome Atlas Breast Invasive Carcinoma Collection (TCGA-BRCA), and The Cancer Genome Atlas Glioblastoma Multiforme Collection (TCGA-GBM) for analysis.  Lossless and lossy compression algorithms, including JPEG, JPEG-LS, JPEG-XR, JPEG2000, HEVC, are used to compress and decompress the images. Their performances are compared in the paper.

本数据集为论文《影像压缩标准在医学影像中的作用：现状与未来趋势》（The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends）的仿真研究所使用的3D图像数据。我们从以下四个数据集各选取10个序列用于分析：结肠CT扫描数据集（ACRIN 6664）、肺影像数据库联盟与影像数据库资源倡议联合构建的CT肺结节完整参考数据库（LIDC-IDRI，原数据来源：Data from The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans）、癌症基因组图谱乳腺浸润性癌数据集（TCGA-BRCA）以及癌症基因组图谱多形性胶质母细胞瘤数据集（TCGA-GBM）。本研究采用包括JPEG、JPEG-LS、JPEG-XR、JPEG2000、HEVC在内的无损与有损压缩算法对图像进行编解码，并在论文中对比了各算法的性能表现。