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High performance medical image processing in client/server-environments.

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Název: High performance medical image processing in client/server-environments.
Autoři: Mayer A; Department of Medical and Biological Informatics / H0100 Deutsches Krebsforschungszentrum, Heidelberg, Germany. a.mayer@dkfz-Heidelberg.de, Meinzer HP
Zdroj: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 1999 Mar; Vol. 58 (3), pp. 207-17.
Způsob vydávání: Journal Article; Research Support, Non-U.S. Gov't
Jazyk: English
Informace o časopise: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print Cited Medium: Print ISSN: 0169-2607 (Print) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE
Imprint Name(s): Publication: Limerick : Elsevier Scientific Publishers
Original Publication: Amsterdam : Elsevier Science Publishers, c1984-
Výrazy ze slovníku MeSH: Computer Systems*, Image Processing, Computer-Assisted/*instrumentation , Image Processing, Computer-Assisted/*methods, Algorithms ; Computer Communication Networks ; Computer Graphics ; Female ; Humans ; Magnetic Resonance Imaging ; Mammography ; Tomography, X-Ray Computed ; User-Computer Interface
Abstrakt: As 3D scanning devices like computer tomography (CT) or magnetic resonance imaging (MRI) become more widespread, there is also an increasing need for powerful computers that can handle the enormous amounts of data with acceptable response times. We describe an approach to parallelize some of the more frequently used image processing operators on distributed memory architectures. It is desirable to make such specialized machines accessible on a network, in order to save costs by sharing resources. We present a client/server approach that is specifically tailored to the interactive work with volume data. Our image processing server implements a volume visualization method that allows the user to assess the segmentation of anatomical structures. We can enhance the presentation by combining the volume visualizations on a viewing station with additional graphical elements, which can be manipulated in real-time. The methods presented were verified on two applications for different domains.
Entry Date(s): Date Created: 19990327 Date Completed: 19990524 Latest Revision: 20190915
Update Code: 20250114
DOI: 10.1016/s0169-2607(98)00085-6
PMID: 10094225
Databáze: MEDLINE
Popis
Abstrakt:As 3D scanning devices like computer tomography (CT) or magnetic resonance imaging (MRI) become more widespread, there is also an increasing need for powerful computers that can handle the enormous amounts of data with acceptable response times. We describe an approach to parallelize some of the more frequently used image processing operators on distributed memory architectures. It is desirable to make such specialized machines accessible on a network, in order to save costs by sharing resources. We present a client/server approach that is specifically tailored to the interactive work with volume data. Our image processing server implements a volume visualization method that allows the user to assess the segmentation of anatomical structures. We can enhance the presentation by combining the volume visualizations on a viewing station with additional graphical elements, which can be manipulated in real-time. The methods presented were verified on two applications for different domains.
ISSN:0169-2607
DOI:10.1016/s0169-2607(98)00085-6