@article{WOS:000477083700015,
abstract = {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.},
address = {TRG IVANE BRLIC-MAZURANIC 2, SLAVONSKI BROD, HR-35000, CROATIA},
author = {Knezovic, Josip and Zagar, Martin and Mlinaric, Hrvoje},
doi = {10.17559/TV-20180407110315},
issn = {1330-3651},
journal = {TEHNICKI VJESNIK-TECHNICAL GAZETTE},
keywords = {lossless compression software; medical image compr},
month = jul,
number = {4},
pages = {995--1000},
publisher = {UNIV OSIJEK, TECH FAC},
title = {{Software System for Efficient Lossless Compression of Medical Images}},
type = {Article},
volume = {26},
year = {2019}
}

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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.","address":"TRG IVANE BRLIC-MAZURANIC 2, SLAVONSKI BROD, HR-35000, CROATIA","author":[{"propositions":[],"lastnames":["Knezovic"],"firstnames":["Josip"],"suffixes":[]},{"propositions":[],"lastnames":["Zagar"],"firstnames":["Martin"],"suffixes":[]},{"propositions":[],"lastnames":["Mlinaric"],"firstnames":["Hrvoje"],"suffixes":[]}],"doi":"10.17559/TV-20180407110315","issn":"1330-3651","journal":"TEHNICKI VJESNIK-TECHNICAL GAZETTE","keywords":"lossless compression software; medical image compr","month":"July","number":"4","pages":"995–1000","publisher":"UNIV OSIJEK, TECH FAC","title":"Software System for Efficient Lossless Compression of Medical Images","volume":"26","year":"2019","bibtex":"@article{WOS:000477083700015,\nabstract = {In medical science and surgery preparation, latest trends such as 3D and\n4D bio-modeling, telesurgery, telepresence and imaging data archival\nproduce a great amount of data. To achieve a satisfying level of speed\nin data manipulation and using less storage it is necessary to use some\ncompression method. Lossy compression techniques generally achieve\nbetter compression, but reconstructed image differs from the original.\nMedical imaging is specific regarding compression methods- some\nimportant parts of data, such as the region of interests should be\nstored and transmitted in a lossless way. That is why lossless\ncompression should be employed for those vital parts of interest for\ndiagnostic and surgery analysis purposes. Previous research showed that\npredictive coding techniques are very effective in lossless compression.\nTherefore, we propose a complete software system for medical image\ncompression, decoding, and viewing based on our predictive, lossless\nimage compression method CBPC 1. We also introduce new features in the\nalgorithm in order to make it more practical by reducing its\ncomputational complexity, while at the same time not incurring its\ncompression efficiency. These improvements substantially improve the\nprocessing speed and make our proposed software suitable for integration\ninto current and future paperless hospital information systems. Our\nsoftware was extensively tested against the compression efficiency and\ncomputing time as shown in this paper proving its deployment in medical\napplications where images need to be delivered with minimum delay using\nlimited communication throughput.},\naddress = {TRG IVANE BRLIC-MAZURANIC 2, SLAVONSKI BROD, HR-35000, CROATIA},\nauthor = {Knezovic, Josip and Zagar, Martin and Mlinaric, Hrvoje},\ndoi = {10.17559/TV-20180407110315},\nissn = {1330-3651},\njournal = {TEHNICKI VJESNIK-TECHNICAL GAZETTE},\nkeywords = {lossless compression software; medical image compr},\nmonth = jul,\nnumber = {4},\npages = {995--1000},\npublisher = {UNIV OSIJEK, TECH FAC},\ntitle = {{Software System for Efficient Lossless Compression of Medical Images}},\ntype = {Article},\nvolume = {26},\nyear = {2019}\n}\n","author_short":["Knezovic, J.","Zagar, M.","Mlinaric, H."],"key":"WOS:000477083700015","id":"WOS:000477083700015","bibbaseid":"knezovic-zagar-mlinaric-softwaresystemforefficientlosslesscompressionofmedicalimages-2019","role":"author","urls":{},"keyword":["lossless compression software; medical image compr"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/f/rTKwnBhyGKSSptYtt/My Collection.bib","dataSources":["DY3AeP9t2QujfB78L","MpTxM7aR49zFotABd"],"keywords":["lossless compression software; medical image compr"],"search_terms":["software","system","efficient","lossless","compression","medical","images","knezovic","zagar","mlinaric"],"title":"Software System for Efficient Lossless Compression of Medical Images","year":2019}