| Unbalanced 3-D tree structure for region-based coding of volumetric medical images. | |
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MedLine Citation:
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PMID: 17946173 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In this paper, we propose an unbalanced three-dimensional (3-D) coefficient tree structure for 3-D region-of-interest (ROI) coding of medical volumetric data. We compare the proposed coding scheme against 3-D SPIHT and a recent technique that employs optimal tree construction shown to improve the performance of the 3-D SPIHT algorithm. For a MR volumetric dataset, at 0.1 bpp, the proposed region-based coding scheme outperforms by about 0.5 dB. The improvement is more significant at higher bitrates, up to 1 dB compared to SPIHT algorithm and optimal tree construction. In addition, the proposed tree structure provides a more general multiregion multiquality coding framework rather than ROI/non-ROI coding. |
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Authors:
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Kaibin Wang; Aysegul Cuhadar |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 1 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2006 |
Date Detail:
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Created Date: 2007-10-23 Completed Date: 2008-03-13 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 3286-9 Citation Subset: IM |
Affiliation:
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Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Biomedical Engineering Brain / anatomy & histology Data Compression Humans Imaging, Three-Dimensional / statistics & numerical data* Magnetic Resonance Imaging / statistics & numerical data |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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