Modeling glioma growth and mass effect in 3D MR images of the brain

Cosmina Hogea, Christos Davatzikos, George Biros

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

Abstract

In this article, we propose a framework for modeling glioma growth and the subsequent mechanical impact on the surrounding brain tissue (mass-effect) in a medical imaging context. Glioma growth is modeled via nonlinear reaction-advection-diffusion, with a two-way coupling with the underlying tissue elastic deformation. Tumor bulk and infiltration and subsequent mass-effects are not regarded separately, but captured by the model itself in the course of its evolution, Our formulation is fully Eulerian and naturally allows for updating the tumor diffusion coefficient following structural displacements caused by tumor growth/infiltration. We show that model parameters can be estimated via optimization based on imaging data, using efficient solution algorithms on regular grids. We test the model and the automatic optimization framework on real brain tumor data sets, achieving significant improvement in landmark prediction compared to a simplified purely mechanical approach.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages642-650
Number of pages9
Volume4791 LNCS
EditionPART 1
StatePublished - 2007
Externally publishedYes
Event10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Australia
Duration: Oct 29 2007Nov 2 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4791 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007
CountryAustralia
CityBrisbane
Period10/29/0711/2/07

Fingerprint

Glioma
Tumors
Brain
Infiltration
Tumor
Growth
Modeling
Brain Tumor
Neoplasms
Advection-diffusion
Elastic Tissue
Tumor Growth
Optimization
Elastic Deformation
Medical Imaging
Diagnostic Imaging
Tissue
Landmarks
Efficient Solution
Brain Neoplasms

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Hogea, C., Davatzikos, C., & Biros, G. (2007). Modeling glioma growth and mass effect in 3D MR images of the brain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 4791 LNCS, pp. 642-650). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4791 LNCS, No. PART 1).

Modeling glioma growth and mass effect in 3D MR images of the brain. / Hogea, Cosmina; Davatzikos, Christos; Biros, George.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4791 LNCS PART 1. ed. 2007. p. 642-650 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4791 LNCS, No. PART 1).

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

Hogea, C, Davatzikos, C & Biros, G 2007, Modeling glioma growth and mass effect in 3D MR images of the brain. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 4791 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4791 LNCS, pp. 642-650, 10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007, Brisbane, Australia, 10/29/07.
Hogea C, Davatzikos C, Biros G. Modeling glioma growth and mass effect in 3D MR images of the brain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 4791 LNCS. 2007. p. 642-650. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
Hogea, Cosmina ; Davatzikos, Christos ; Biros, George. / Modeling glioma growth and mass effect in 3D MR images of the brain. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4791 LNCS PART 1. ed. 2007. pp. 642-650 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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