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Ensemble Inversion for Brain Tumor Growth Models With Mass Effect

Journal Article · · IEEE Transactions on Medical Imaging
 [1];  [2];  [2];  [2];  [3];  [2]
  1. Oden Institute, University of Texas at Austin, Austin, USA; OSTI
  2. Oden Institute, University of Texas at Austin, Austin, USA
  3. Department of Radiology, Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA

Not provided.

Research Organization:
Duke Univ., Durham, NC (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
SC0019393
OSTI ID:
2421246
Journal Information:
IEEE Transactions on Medical Imaging, Journal Name: IEEE Transactions on Medical Imaging Journal Issue: 4 Vol. 42; ISSN 0278-0062
Publisher:
IEEE
Country of Publication:
United States
Language:
English

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Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan journal January 2021
Role of mass effect, tumor volume and peritumoral edema volume in the differential diagnosis of primary brain tumor and metastasis journal September 2016
Where did the tumor start? An inverse solver with sparse localization for tumor growth models journal February 2020
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference journal August 2019
Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect journal May 2019
Verification and validation in computational engineering and science: basic concepts journal September 2004
GLISTR: Glioma Image Segmentation and Registration journal October 2012
An image-driven parameter estimation problem for a reaction–diffusion glioma growth model with mass effects journal November 2007
Biophysical modeling of brain tumor progression: From unconditionally stable explicit time integration to an inverse problem with parabolic PDE constraints for model calibration: Stable explicit time integration and PDE constrained optimization journal June 2012
Advanced Normalization Tools: V1.0 journal July 2009
Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study journal February 2019
Quantifying the Role of Angiogenesis in Malignant Progression of Gliomas: In Silico Modeling Integrates Imaging and Histology journal September 2011
Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology journal June 2020
A Multilayer Grow-or-Go Model for GBM: Effects of Invasive Cells and Anti-Angiogenesis on Growth journal August 2014
Quantification of glioblastoma mass effect by lateral ventricle displacement journal February 2018
Migration of Human Glioma Cells on Myelin journal April 1996
Intratumoral heterogeneity in glioblastoma: don't forget the peritumoral brain zone journal July 2015
Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations journal January 2010

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