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
  • General Computer Science

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