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BioMed Research International
Volume 2015, Article ID 842923, 13 pages
http://dx.doi.org/10.1155/2015/842923
Research Article

Tumour Relapse Prediction Using Multiparametric MR Data Recorded during Follow-Up of GBM Patients

1Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, P.O. Box 2446, 3001 Leuven, Belgium
2iMinds Medical IT, 3000 Leuven, Belgium
3Department of Radiology, University Hospitals of Leuven, Herestraat 49, 3000 Leuven, Belgium
4Department of Electrical Engineering (ESAT), PSI Center for Processing Speech and Images, KU Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium
5Department of Pedriatic Neuro-Oncology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
6Biomedical MRI/MoSAIC, Department of Imaging and Pathology, KU Leuven, 3000 Leuven, Belgium

Received 5 September 2014; Accepted 16 December 2014

Academic Editor: Zhengchao Dong

Copyright © 2015 Adrian Ion-Margineanu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Martin Bulik, Tomas Kazda, Pavel Slampa, and Radim Jancalek, “The Diagnostic Ability of Follow-Up Imaging Biomarkers after Treatment of Glioblastoma in the Temozolomide Era: Implications from Proton MR Spectroscopy and Apparent Diffusion Coefficient Mapping,” BioMed Research International, vol. 2015, pp. 1–9, 2015. View at Publisher · View at Google Scholar
  • Sauwen, Sima, Maes, Himmelreich, Acou, Van Cauter, Veraart, Achten, and Van Huffel, “Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI,” NeuroImage: Clinical, vol. 12, pp. 753–764, 2016. View at Publisher · View at Google Scholar
  • Marija Jovanovic, Milica Selmic, Dragana Macura, Slobodan Lavrnic, Svetlana Gavrilovic, Marko Dakovic, Sandra Radenkovic, Ivan Soldatovic, Tatjana Stosic-Opincal, and Ruzica Maksimovic, “Structural and Metabolic Pattern Classification for Detection of Glioblastoma Recurrence and Treatment-Related Effects,” Applied Magnetic Resonance, 2017. View at Publisher · View at Google Scholar
  • Adrian Ion-Mărgineanu, Sofie Van Cauter, Diana M. Sima, Frederik Maes, Stefan Sunaert, Uwe Himmelreich, and Sabine Van Huffel, “Classifying Glioblastoma Multiforme Follow-Up Progressive vs. Responsive Forms Using Multi-Parametric MRI Features,” Frontiers in Neuroscience, vol. 10, 2017. View at Publisher · View at Google Scholar