Tomography Defined as Sensor Fusion

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    Abstract

    Tomography is introduced as a sensing task, ratherthan a healthcare imaging application, best known for itsembodiment in hospital scanners. Tomography sensing, imagingand data processing are summarized with emphasis on systemphenomenology and design in relation with the inversion ofmeasurement data. The main classification paradigms of sensorfusion are examined and the overlap with the theory and practiceof computer (‘hard-field’) tomography is shown in detail. It isdemonstrated how concurrent fusion takes place when measuringpath integrals; collaborative fusion – when defining a projectionas a set of path integrals to allow data inversion from multipleprojections, e.g. through the Fourier slice theorem;complementary fusion – when imaging the object in several autoregisteredsecondary contrasts. To cover the largest varietyavailable, process tomography (i.e. non-medical tomography)case studies are examined in detail revealing the fusion tasksperformed by various algorithms.
    Original languageEnglish
    Title of host publicationProceedings IEEE SENSORS 2015
    Place of PublicationNew Jersey, USA
    PublisherIEEE
    DOIs
    Publication statusPublished - 1 Nov 2015
    EventIEEE SENSORS 2015 - Busan, South Korea
    Duration: 2 Nov 20154 Nov 2015

    Conference

    ConferenceIEEE SENSORS 2015
    CityBusan, South Korea
    Period2/11/154/11/15

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