| Lossless Compression of Threshold-Segmented Medical Images. | |
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MedLine Citation:
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PMID: 21494853 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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This paper introduces a new algorithm for losslessly compressing voxel-based 3D CT medical images. Firstly, medical data is segmented according to selected ranges of the Hounsfield scale. The data is then arranged into two data streams. The first stream identifies the positions of the remaining data after segmentation. This information is compressed by the JBIG standard. The second stream contains the exact data values and it is losslessly compressed by our algorithm. The efficiency of this approach has been evaluated by a prototype application. This approach represents an interesting alternative for the long-term storage of medical 2D and 3D images, and for applications in telemedicine. The compression method can be used either for 2D or 3D medical data. |
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Authors:
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Denis Spelič; Borut Zalik |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-4-15 |
Journal Detail:
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Title: Journal of medical systems Volume: - ISSN: 0148-5598 ISO Abbreviation: - Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-4-15 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7806056 Medline TA: J Med Syst Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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University of Maribor, Faculty of Electrical Engineering and Computer Science, Smetanova 17, SI-2000, Maribor, Slovenia, denis.spelic@uni-mb.si. |
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