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. Jäger, Tarek A. Yousry, David J. Hawkes

Abstract

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
EditorsThorsten M. Buzug, Dietrich Holz, Jens Bongartz, Matthias Kohl-Bareis, Ulrich Hartmann, Simone Weber
Number of pages6
Volume114
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Publication date01.01.2007
Pages139-144
ISBN (Print)978-3-540-68763-4
ISBN (Electronic)978-3-540-68764-1
DOIs
Publication statusPublished - 01.01.2007

Fingerprint

Dive into the research topics of 'Modelling Tumour Growth Patterns with Non-Rigid Image Registration'. Together they form a unique fingerprint.

Cite this