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Biomedical Volume Alignment Using an Efficient Optimization Method and Fast Data Resampling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F03%3A12094341" target="_blank" >RIV/68407700:21220/03:12094341 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Biomedical Volume Alignment Using an Efficient Optimization Method and Fast Data Resampling

  • Original language description

    We describe an efficient volume alignment method using global information content of data sets. This task represents an optimization task that is solved with respect to robustness and computational speed especially. We pay our attention especially to thechoice of a function that evaluates similarity of data sets (Mutual Information) and to the choice of an optimization strategy that optimizes the function in a parametric space (Adaptive Simulated Annealing). Since the speed of the alignment is highly important in practice we apply a low-resolution strategy together with an incremental approach to the resampling of data sets.

  • Czech name

  • Czech description

Classification

  • Type

    A - Audiovisual production

  • CEP classification

    FS - Medical facilities, apparatus and equipment

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • ISBN

    0-7803-8293-5

  • Place of publication

    Darmstadt

  • Publisher/client name

    Not available

  • Version

  • Carrier ID

    IEEE Cat.Number 03EX795C