Determining malignancy of brain tumors by analysis of vessel shape

Elizabeth Bullitt, Inkyung Jung, Keith Muller, Guido Gerig, Stephen Aylward, Sarang Joshi, Keith Smith, Weili Lin, Matthew Ewend

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    Vessels supplying malignant tumors are abnormally shaped. This paper describes a blinded study that assessed tumor malignancy by analyzing vessel shape within MR images of 21 brain tumors prior to surgical resection. The program's assessment of malignancy was then compared to the final histological diagnosis. All tumors were classified correctly as benign or malignant. Of importance, malignancy-associated vessel abnormalities extend outside apparent tumor margins, thus allowing classification of even small or hemorrhagic tumors.

    Original languageEnglish (US)
    Pages (from-to)645-653
    Number of pages9
    JournalLecture Notes in Computer Science
    Volume3217
    Issue number1 PART 2
    DOIs
    StatePublished - 2004
    EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France
    Duration: Sep 26 2004Sep 29 2004

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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