| The application of a new predictive technique for lossless compression of medical images. | |
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MedLine Citation:
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PMID: 12766274 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A new predictive technique for lossless compression is applied to CT and MR images in order to achieve high compression in the lossless mode. To accomplish this, a prediction value was obtained by assuming the horizontal and vertical components of each pixel. Wide and narrow predictive coding modes were adaptively selected to achieve an accurate prediction. The performance of the predictive technique was compared with the performance of four representative compression techniques in the lossless mode, using different types of CT and MR image sets with different bit rates. Overall, the proposed predictive technique yielded the best compression, particularly with the lower bit-rate images tested. While the compression results are largely dependent on the images used, the results confirm the strong potential of the proposed predictive technique as a strategy for obtaining high lossless-compression in medical images. |
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Authors:
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Kazuhiro Koshino; Shigehito Suzuki; Minoru Sotoda |
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Publication Detail:
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Type: Comparative Study; Evaluation Studies; Journal Article |
Journal Detail:
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Title: Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics Volume: 22 ISSN: 1345-5354 ISO Abbreviation: Igaku Butsuri Publication Date: 2002 |
Date Detail:
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Created Date: 2003-05-26 Completed Date: 2003-07-18 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 101125977 Medline TA: Igaku Butsuri Country: Japan |
Other Details:
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Languages: eng Pagination: 287-301 Citation Subset: IM |
Affiliation:
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Department of Computer Science, Kitami Institute of Technology. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Humans Image Processing, Computer-Assisted / methods* Magnetic Resonance Imaging / methods Predictive Value of Tests Tomography, X-Ray Computed / methods |
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