Tumor Growth Parameters Estimation and Source Localization From a Unique Time Point: Application to Low-grade Gliomas
| Autor: | Erin Stretton, Hervé Delingette, Olivier Clatz, Ezequiel Geremia, Islem Rekik, Stéphanie Allassonnière, Nicholas Ayache |
|---|---|
| Přispěvatelé: | Analysis and Simulation of Biomedical Images (ASCLEPIOS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre de Mathématiques Appliquées - Ecole Polytechnique (CMAP), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), European Project: 291080,EC:FP7:ERC,ERC-2011-ADG_20110209,MEDYMA(2012) |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Mathematical optimization
Brain tumor 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Source localization medicine [INFO.INFO-IM]Computer Science [cs]/Medical Imaging Tumor growth Time point Mathematics business.industry Pattern recognition Inverse problem medicine.disease [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Signal Processing Computer Vision and Pattern Recognition Artificial intelligence Mr images business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing 030217 neurology & neurosurgery Software |
| Zdroj: | Computer Vision and Image Understanding Computer Vision and Image Understanding, 2013, 117 (3), pp.238--249. ⟨10.1016/j.cviu.2012.11.001⟩ |
| ISSN: | 1077-3142 1090-235X |
| DOI: | 10.1016/j.cviu.2012.11.001⟩ |
| Popis: | International audience; Coupling time series of MR Images with reaction-di usion-based models has provided interesting ways to better understand the proliferative-invasive as- pect of glial cells in tumors. In this paper, we address a di erent formulation of the inverse problem: from a single time point image of a non-swollen brain tumor, estimate the tumor source location and the di usivity ratio between white and grey matter, while exploring the possibility to predict the further extent of the observed tumor at later time points in low-grade gliomas. The synthetic and clinical results show the stability of the located source and its varying distance from the tumor barycenter and how the estimated ratio controls the spikiness of the tumor. |
| Databáze: | OpenAIRE |
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