Publication
Lossless Compression of Medical Images Using 3-D Predictors
| dc.contributor.author | Lucas, Luis F. R. | |
| dc.contributor.author | M. M. Rodrigues, Nuno | |
| dc.contributor.author | Cruz, Luis A. da Silva | |
| dc.contributor.author | Faria, Sergio M. M. de | |
| dc.date.accessioned | 2025-06-16T09:41:20Z | |
| dc.date.available | 2025-06-16T09:41:20Z | |
| dc.date.issued | 2017-11 | |
| dc.description.abstract | Thispaper 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. | eng |
| dc.identifier.citation | L. 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.2017.2714640 | |
| dc.identifier.doi | 10.1109/tmi.2017.2714640 | |
| dc.identifier.issn | 1558-254X | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/13245 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
| dc.relation.hasversion | https://ieeexplore.ieee.org/document/7945492 | |
| dc.relation.ispartof | IEEE Transactions on Medical Imaging | |
| dc.rights.uri | N/A | |
| dc.subject | Minimum rate predictors | |
| dc.subject | 3D predictors | |
| dc.subject | lossless compression | |
| dc.subject | medical image compression | |
| dc.subject | volumetric data compression | |
| dc.title | Lossless Compression of Medical Images Using 3-D Predictors | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 2260 | |
| oaire.citation.issue | 11 | |
| oaire.citation.startPage | 2250 | |
| oaire.citation.title | IEEE Transactions on Medical Imaging | |
| oaire.citation.volume | 36 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | M. M. Rodrigues | |
| person.givenName | Nuno | |
| person.identifier.orcid | 0000-0001-9536-1017 | |
| person.identifier.scopus-author-id | 7006052345 | |
| relation.isAuthorOfPublication | b4ebe652-7f0e-4e67-adb0-d5ea29fc9e69 | |
| relation.isAuthorOfPublication.latestForDiscovery | b4ebe652-7f0e-4e67-adb0-d5ea29fc9e69 |
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