Lucas, Luis F. R.M. M. Rodrigues, NunoCruz, Luis A. da SilvaFaria, Sergio M. M. de2025-06-162025-06-162017-11L. F. R. Lucas, N. M. M. Rodrigues, L. A. da Silva Cruz and S. M. M. de Faria, "Lossless Compression of Medical Images Using 3-D Predictors," in IEEE Transactions on Medical Imaging, vol. 36, no. 11, pp. 2250-2260, Nov. 2017, doi: 10.1109/TMI.2017.27146401558-254Xhttp://hdl.handle.net/10400.8/13245Thispaper describes a highly efficientmethod for lossless compression of volumetric sets of medical images, such as CTs or MRIs. The proposed method, referred to as 3-D-MRP, is based on the principle ofminimum rate predictors (MRPs), which is one of the state-of-the-art lossless compression technologies presented in the data compression literature. The main features of the proposed method include the use of 3-D predictors, 3-D-block octree partitioning and classification, volume-based optimization, and support for 16-b-depth images. Experimental results demonstrate the efficiency of the 3-D-MRP algorithm for the compression of volumetric sets of medical images, achieving gains above 15% and 12% for 8- and 16-bitdepth contents, respectively, when compared with JPEGLS, JPEG2000, CALIC, and HEVC, aswell as other proposals based on the MRP algorithm.engMinimum rate predictors3D predictorslossless compressionmedical image compressionvolumetric data compressionjournal article10.1109/tmi.2017.2714640