scholarly journals A level-set approach for a multi-scale cancer invasion model

2021 ◽  
Vol 2 (1) ◽  
pp. 32-54
Author(s):  
Thomas Carraro ◽  
Sven E. Wetterauer ◽  
Ana Victoria Ponce Bobadilla ◽  
Dumitru Trucu

The quest for a deeper understanding of the cancer growth and spread process focuses on the naturally multiscale nature of cancer invasion, which requires an appropriate multiscale modeling and analysis approach. The cross-talk between the dynamics of the cancer cell population on the tissue scale (macroscale) and the proteolytic molecular processes along the tumor border on the cell scale (microscale) plays a particularly important role within the invasion processes, leading to dramatic changes in tumor morphology and influencing the overall pattern of cancer spread. Building on the multiscale moving boundary framework proposed in Trucu et al. (Multiscale Model. Simul 11(1): 309-335), in this work we propose a new  formulation of this process involving a novel derivation of the macro scale boundary movement law based on micro-dynamics, involving a transport equation combined with the level-set method. This is explored numerically in a novel finite element macro-micro framework based on cut-cells.

2005 ◽  
pp. 277-302 ◽  
Author(s):  
M. Garzon ◽  
David Adalsteinsson ◽  
L. Gray ◽  
James Sethian

2012 ◽  
Vol 03 (04) ◽  
pp. 382-388 ◽  
Author(s):  
Khadijeh Baghaei ◽  
Mohammad Bagher Ghaemi ◽  
Mahmoud Hesaaraki

2020 ◽  
Vol 99 (99) ◽  
pp. 1-27
Author(s):  
Abdulhamed Alsisi ◽  
Raluca Eftimie ◽  
Dumitru Trucu

Oncolytic virus (OV) therapy is a promising treatment for cancer due to the OVs selective ability to infect and replicate inside cancer cells, thus killing them, without harming healthy cells. In this work, we present a new non-local multiscale moving boundary model for the spatio-temporal cancer-OV interactions. This model explores an important double feedback loop that links the macro-scale dynamics of cancer-virus interactions and the micro-scale dynamics of proteolytic activity taking place at the tumour interface. The cancer cell-cell and cell-matrix interactions are assumed to be nonlocal, while the cell-virus interactions are assumed local. With the help of this model we investigate computationally various cancer treatment scenarios involving oncolytic viruses (i.e., the effect of injecting the OV inside the tumour, or outside it). Moreover, we investigate the effect of different cell-cell and cell-matrix interaction strengths on the success of OV spreading throughout the tumour, and the effect of constant or density-dependent virus diffusion coefficients on viral spread.


Author(s):  
Duane Storti ◽  
Mark A. Ganter ◽  
William R. Ledoux ◽  
Randal P. Ching ◽  
Yangqiu Patrick Hu ◽  
...  

This paper describes a new formulation of solid modeling that addresses the issue of including parts whose geometry is determined from volumetric scans (CT, MRI, PET, etc.) along with parts whose geometry is designed by traditional computer-aided design (CAD) operations. Such issues arise frequently in the design of medical devices or prostheses where fit and/or interference between man-made artifacts and existing anatomy are essential considerations, but the modeling formulation presented is not limited to medical applications and can be applied to any parts whose volume can be actually or virtually scanned. Scanner data typically comprises a grid of intensity values and segmentation must be performed to determine the extent of the part. In current practice, the segmented scanner data is run through a polygonizer to obtain an approximate tessellation of the object’s surface. Even in the best case scenario where the triangles obtained form a closed surface that accurately approximates the surface of the scanned object, such triangulated models can be problematic due to excessive size. We present an alternative approach based on recent advances in segmentation with level set methods. The output of the level set computation is a grid of approximate values for the signed distance from each grid point to the nearest point on the surface of the scanned object. We propose interpolating the grid of signed distance values to obtain an implicit or function-based representation (f-rep) for the object, and we introduce appropriate wavelets to effectively perform the interpolation while also providing a number of other useful properties including data compression, inherently multi-scale modeling, and capabilities for skeletal-based modeling operations.


2004 ◽  
Vol 171 (4S) ◽  
pp. 260-260
Author(s):  
Bernd Wullich ◽  
Bassem Irsheid ◽  
Silke Riedinger ◽  
Michael Stöckle ◽  
Gerhard Unteregger

2012 ◽  
Vol 57 (23) ◽  
pp. 2184
Author(s):  
Zhen SONG ◽  
ShaoXi CAI ◽  
SiJia CHEN ◽  
XiaoQing YAN ◽  
Wei SUN ◽  
...  

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