This work presents a novel framework for 4D medical data compression architecture. This framework is based on different procedures and algorithms that detect temporal and spatial redundancies in recorded MRI volumes. Integration of segmentation, block matching and motion field prediction along with expert knowledge are incorporated to reduce temporal redundancy. Spatial analysis is done through the extension of wavelet transformations to three dimensions. With the combination of temporal and spatial redundancies removal, very high compression ratio is achieved. The suggested data compression architecture can be implemented in telemedicine to improve the quality of service. Each part of the system architecture is implemented independently and can be used for other approaches such as entertainment applications and other new applications that use 4D data.
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This work presents a novel framework for 4D medical data compression architecture. This framework is based on different procedures and algorithms that detect temporal and spatial redundancies in recorded MRI volumes. Integration of segmentation, block matching and motion field prediction along with expert knowledge are incorporated to reduce temporal redundancy. Spatial analysis is done through the extension of wavelet transformations to three dimensions. With the combination of temporal and spatial redundancies removal, very high compression ratio is achieved. The suggested data compression architecture can be implemented in telemedicine to improve the quality of service. Each part of the system architecture is implemented independently and can be used for other approaches such as entertainment applications and other new applications that use 4D data.
Martin Žagar, PhD is affiliated with the University of Zagreb, Faculty of Electrical Engineering and Computing. His research interests include telemedicine applications and multimedia processing and architectures.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work presents a novel framework for 4D medical data compression architecture. This framework is based on different procedures and algorithms that detect temporal and spatial redundancies in recorded MRI volumes. Integration of segmentation, block matching and motion field prediction along with expert knowledge are incorporated to reduce temporal redundancy. Spatial analysis is done through the extension of wavelet transformations to three dimensions. With the combination of temporal and spatial redundancies removal, very high compression ratio is achieved. The suggested data compression architecture can be implemented in telemedicine to improve the quality of service. Each part of the system architecture is implemented independently and can be used for other approaches such as entertainment applications and other new applications that use 4D data. 204 pp. Englisch. N° de réf. du vendeur 9783846543610
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Taschenbuch. Etat : Neu. 4D Medical Data Compression Architecture | The Novel Approach | Martin ¿Agar | Taschenbuch | 204 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846543610 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106733956
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work presents a novel framework for 4D medical data compression architecture. This framework is based on different procedures and algorithms that detect temporal and spatial redundancies in recorded MRI volumes. Integration of segmentation, block matching and motion field prediction along with expert knowledge are incorporated to reduce temporal redundancy. Spatial analysis is done through the extension of wavelet transformations to three dimensions. With the combination of temporal and spatial redundancies removal, very high compression ratio is achieved. The suggested data compression architecture can be implemented in telemedicine to improve the quality of service. Each part of the system architecture is implemented independently and can be used for other approaches such as entertainment applications and other new applications that use 4D data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch. N° de réf. du vendeur 9783846543610
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work presents a novel framework for 4D medical data compression architecture. This framework is based on different procedures and algorithms that detect temporal and spatial redundancies in recorded MRI volumes. Integration of segmentation, block matching and motion field prediction along with expert knowledge are incorporated to reduce temporal redundancy. Spatial analysis is done through the extension of wavelet transformations to three dimensions. With the combination of temporal and spatial redundancies removal, very high compression ratio is achieved. The suggested data compression architecture can be implemented in telemedicine to improve the quality of service. Each part of the system architecture is implemented independently and can be used for other approaches such as entertainment applications and other new applications that use 4D data. N° de réf. du vendeur 9783846543610
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 204 pages. 8.66x5.91x0.46 inches. In Stock. N° de réf. du vendeur 3846543616
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