Software System for Efficient Lossless Compression of Medical Images
In medical science and surgery preparation, latest trends such as 3D and 4D bio-modeling, telesurgery, telepresence and imaging data archival produce a great amount of data. To achieve a satisfying level of speed in data manipulation and using less storage it is necessary to use some compression met...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2019-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/325810 |
| _version_ | 1797207450456162304 |
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| author | Josip Knezović Martin Žagar Hrvoje Mlinarić |
| author_facet | Josip Knezović Martin Žagar Hrvoje Mlinarić |
| author_sort | Josip Knezović |
| collection | DOAJ |
| description | In medical science and surgery preparation, latest trends such as 3D and 4D bio-modeling, telesurgery, telepresence and imaging data archival produce a great amount of data. To achieve a satisfying level of speed in data manipulation and using less storage it is necessary to use some compression method. Lossy compression techniques generally achieve better compression, but reconstructed image differs from the original. Medical imaging is specific regarding compression methods– some important parts of data, such as the region of interests should be stored and transmitted in a lossless way. That is why lossless compression should be employed for those vital parts of interest for diagnostic and surgery analysis purposes. Previous research showed that predictive coding techniques are very effective in lossless compression. Therefore, we propose a complete software system for medical image compression, decoding, and viewing based on our predictive, lossless image compression method CBPC 1. We also introduce new features in the algorithm in order to make it more practical by reducing its computational complexity, while at the same time not incurring its compression efficiency. These improvements substantially improve the processing speed and make our proposed software suitable for integration into current and future paperless hospital information systems. Our software was extensively tested against the compression efficiency and computing time as shown in this paper proving its deployment in medical applications where images need to be delivered with minimum delay using limited communication throughput. |
| first_indexed | 2024-04-24T09:23:06Z |
| format | Article |
| id | doaj.art-fc9bcddfca9d425fb05935f0eb71b9e7 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:23:06Z |
| publishDate | 2019-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-fc9bcddfca9d425fb05935f0eb71b9e72024-04-15T15:42:00ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392019-01-01264995100010.17559/TV-20180407110315Software System for Efficient Lossless Compression of Medical ImagesJosip Knezović0Martin Žagar1Hrvoje Mlinarić2University Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, CroatiaRochester Institute of Technology Croatia, Damira Tomljanovića Gavrana 15, 10000 Zagreb, CroatiaUniversity Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, CroatiaIn medical science and surgery preparation, latest trends such as 3D and 4D bio-modeling, telesurgery, telepresence and imaging data archival produce a great amount of data. To achieve a satisfying level of speed in data manipulation and using less storage it is necessary to use some compression method. Lossy compression techniques generally achieve better compression, but reconstructed image differs from the original. Medical imaging is specific regarding compression methods– some important parts of data, such as the region of interests should be stored and transmitted in a lossless way. That is why lossless compression should be employed for those vital parts of interest for diagnostic and surgery analysis purposes. Previous research showed that predictive coding techniques are very effective in lossless compression. Therefore, we propose a complete software system for medical image compression, decoding, and viewing based on our predictive, lossless image compression method CBPC 1. We also introduce new features in the algorithm in order to make it more practical by reducing its computational complexity, while at the same time not incurring its compression efficiency. These improvements substantially improve the processing speed and make our proposed software suitable for integration into current and future paperless hospital information systems. Our software was extensively tested against the compression efficiency and computing time as shown in this paper proving its deployment in medical applications where images need to be delivered with minimum delay using limited communication throughput.https://hrcak.srce.hr/file/325810lossless compression softwaremedical image compressiontelemedicine3D CAS telesurgerytransmission |
| spellingShingle | Josip Knezović Martin Žagar Hrvoje Mlinarić Software System for Efficient Lossless Compression of Medical Images Tehnički Vjesnik lossless compression software medical image compression telemedicine 3D CAS telesurgery transmission |
| title | Software System for Efficient Lossless Compression of Medical Images |
| title_full | Software System for Efficient Lossless Compression of Medical Images |
| title_fullStr | Software System for Efficient Lossless Compression of Medical Images |
| title_full_unstemmed | Software System for Efficient Lossless Compression of Medical Images |
| title_short | Software System for Efficient Lossless Compression of Medical Images |
| title_sort | software system for efficient lossless compression of medical images |
| topic | lossless compression software medical image compression telemedicine 3D CAS telesurgery transmission |
| url | https://hrcak.srce.hr/file/325810 |
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