Treffer: A novel medical image data-based multi-physics simulation platform for computational life sciences.

Title:
A novel medical image data-based multi-physics simulation platform for computational life sciences.
Authors:
Neufeld E; Foundation for Research on Information Technologies in Society (IT'IS) , Zeughausstr. 43, 8004 Zürich , Switzerland., Szczerba D; Foundation for Research on Information Technologies in Society (IT'IS) , Zeughausstr. 43, 8004 Zürich , Switzerland., Chavannes N; Foundation for Research on Information Technologies in Society (IT'IS) , Zeughausstr. 43, 8004 Zürich , Switzerland., Kuster N; Foundation for Research on Information Technologies in Society (IT'IS) , Zeughausstr. 43, 8004 Zürich , Switzerland ; Swiss Federal Institute of Technology (ETH) Zürich , 8092 Zürich , Switzerland.
Source:
Interface focus [Interface Focus] 2013 Apr 06; Vol. 3 (2), pp. 20120058.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Royal Society Country of Publication: England NLM ID: 101531990 Publication Model: Print Cited Medium: Print ISSN: 2042-8898 (Print) Linking ISSN: 20428898 NLM ISO Abbreviation: Interface Focus Subsets: PubMed not MEDLINE
Imprint Name(s):
Original Publication: London : Royal Society, 2011-
References:
Int J Radiat Oncol Biol Phys. 1984 Jun;10(6):787-800. (PMID: 6547421)
Phys Med Biol. 2010 Jan 21;55(2):N23-38. (PMID: 20019402)
Int J Hyperthermia. 2007 Feb;23(1):59-67. (PMID: 17575724)
Ann Oncol. 2002 Aug;13(8):1173-84. (PMID: 12181239)
Neural Comput. 1997 Aug 15;9(6):1179-209. (PMID: 9248061)
Philos Trans A Math Phys Eng Sci. 2008 Sep 28;366(1879):3301-18. (PMID: 18593664)
Int J Hyperthermia. 2007 Nov;23(7):567-76. (PMID: 18038287)
Physiol Meas. 2012 Feb;33(2):117-30. (PMID: 22227810)
Contributed Indexing:
Keywords: anatomical models; computational life sciences; high-performance computing; image based; modelling; multi-physics
Entry Date(s):
Date Created: 20140116 Date Completed: 20140115 Latest Revision: 20211021
Update Code:
20250114
PubMed Central ID:
PMC3638470
DOI:
10.1098/rsfs.2012.0058
PMID:
24427518
Database:
MEDLINE

Weitere Informationen

Simulating and modelling complex biological systems in computational life sciences requires specialized software tools that can perform medical image data-based modelling, jointly visualize the data and computational results, and handle large, complex, realistic and often noisy anatomical models. The required novel solvers must provide the power to model the physics, biology and physiology of living tissue within the full complexity of the human anatomy (e.g. neuronal activity, perfusion and ultrasound propagation). A multi-physics simulation platform satisfying these requirements has been developed for applications including device development and optimization, safety assessment, basic research, and treatment planning. This simulation platform consists of detailed, parametrized anatomical models, a segmentation and meshing tool, a wide range of solvers and optimizers, a framework for the rapid development of specialized and parallelized finite element method solvers, a visualization toolkit-based visualization engine, a Python scripting interface for customized applications, a coupling framework, and more. Core components are cross-platform compatible and use open formats. Several examples of applications are presented: hyperthermia cancer treatment planning, tumour growth modelling, evaluating the magneto-haemodynamic effect as a biomarker and physics-based morphing of anatomical models.