Modelling tumour growth patterns with non-rigid image registration

Andreas Mang, William R. Crum, Oscar Camara, Julia A. Schnabel, Gisele Brasil Caseiras, Thorsten M. Buzug, Hans R. Jaeger, Tarek A. Yousry, David J. Hawkes

Research output: Chapter in Book/Report/Conference proceedingConference paper


We present a registration-based approach to model growth of glioma tumours seen in serial magnetic resonance imaging. Two state-of-the-art intensity-based non-rigid registration methods are investigated for their ability to compensate for the mass effect of the tumour. Both methods perform well and volume change estimates correlate well with manual delineation. However the complex structural and functional changes in glioma cannot be fully resolved by intensity-based methods due to the profound changes in morphology and appearance associated with glioma progression.

Original languageEnglish
Title of host publicationAdvances in Medical Engineering
Subtitle of host publicationPart II
EditorsTM Buzug, D Holz, J Bongartz, M KohlBareis, U Hartmann
Place of PublicationBERLIN
Number of pages6
ISBN (Print)978-3-540-68763-4
Publication statusPublished - 2007

Publication series

NameSpringer Proceedings in Physics
ISSN (Print)0930-8989


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