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Virtual liver biopsy: image processing and 3D visualization

D Agrafiotis, MG Jones, SG Nikolov, [No Value] Halliwell, M Halliwell, DR Bull, CN Canagarajah

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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    Abstract

    This paper presents results in the image processing and visualization aspects of a virtual liver biopsy system (a system for simulating the medical procedure of liver biopsy). The creation of 3D models from 2D images of the organs involved is described, and segmentation requirements of this process are discussed. Endoscopic images of the liver that simulate the needle's point of view are created by means of combined volume and surface rendering. For this purpose ray casting is used with the ray start and end points being constrained within a surface rendered environment. Visualization of the needle insertion process from an exterior point of view is presented. A real-time sectional imaging component is also used in which the displayed 2D-image section of the 3D volume tracks the tip of the needle.
    Translated title of the contributionVirtual liver biopsy: image processing and 3D visualization
    Original languageEnglish
    Title of host publication2001 International Conference on Image Processing, Thessaloniki, Greece
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages331 - 334
    Number of pages4
    Volume2
    ISBN (Print)0780367251
    DOIs
    Publication statusPublished - Oct 2001
    EventInternational Conference on Image Processing - Thessaloniki, Greece
    Duration: 1 Oct 2001 → …

    Conference

    ConferenceInternational Conference on Image Processing
    Country/TerritoryGreece
    CityThessaloniki
    Period1/10/01 → …

    Bibliographical note

    Rose publication type: Conference contribution

    Sponsorship: The financial support of the State Scholarship Foundation, Greece, is gratefully acknowledged.

    Terms of use: Copyright © 2001 IEEE. Reprinted from International Conference on Image Processing, 2001.

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