Expert-validated CSF segmentation of MNI atlas enhances accuracy of virtual glioma growth patterns

Amelot, Aymeric; Stretton, Erin; Delingette, Hervé; Ayache, Nicholas; Froelich, Sébastien; Mandonnet, Emmanuel

doi:10.1007/s11060-014-1645-5

Cited by 5 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We first utilized the corrected MNI atlas 48 to simulate the tumor growth from single point with and without the effect of treatment. The results shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

Post-Surgery Glioma Growth Modeling from Magnetic Resonance Images for Patients with Treatment

Elazab

Bai

AbdulAzeem³

et al. 2017

Sci Rep

View full text Add to dashboard Cite

Reaction diffusion is the most common growth modelling methodology due to its simplicity and consistency with the biological tumor growth process. However, current extensions of the reaction diffusion model lack one or more of the following: efficient inclusion of treatments’ effects, taking into account the viscoelasticity of brain tissues, and guaranteed stability of the numerical solution. We propose a new model to overcome the aforementioned drawbacks. Guided by directional information derived from diffusion tensor imaging, our model relates tissue heterogeneity with the absorption of the chemotherapy, adopts the linear-quadratic term to simulate the radiotherapy effect, employs Maxwell-Weichert model to incorporate brain viscoelasticity, and ensures the stability of the numerical solution. The performance is verified through experiments on synthetic and real MR images. Experiments on 9 MR datasets of patients with low grade gliomas undergoing surgery with different treatment regimens are carried out and validated using Jaccard score and Dice coefficient. The growth simulation accuracies of the proposed model are in ranges of [0.673 0.822] and [0.805 0.902] for Jaccard scores and Dice coefficients, respectively. The accuracies decrease up to 4% and 2.4% when ignoring treatment effects and the tensor information, while brain viscoelasticity has no significant impact on the accuracies.

show abstract

“…We first utilized the corrected MNI atlas 48 to simulate the tumor growth from single point with and without the effect of treatment. The results shown in Fig.…”

Section: Methodsmentioning

confidence: 99%