Literature DB >> 17434811

The field representation language.

Guy Tsafnat1.   

Abstract

The complexity of quantitative biomedical models, and the rate at which they are published, is increasing to a point where managing the information has become all but impossible without automation. International efforts are underway to standardise representation languages for a number of mathematical entities that represent a wide variety of physiological systems. This paper presents the Field Representation Language (FRL), a portable representation of values that change over space and/or time. FRL is an extensible mark-up language (XML) derivative with support for large numeric data sets in Hierarchical Data Format version 5 (HDF5). Components of FRL can be reused through unified resource identifiers (URI) that point to external resources such as custom basis functions, boundary geometries and numerical data. To demonstrate the use of FRL as an interchange we present three models that study hyperthermia cancer treatment: a fractal model of liver tumour microvasculature; a probabilistic model simulating the deposition of magnetic microspheres throughout it; and a finite element model of hyperthermic treatment. The microsphere distribution field was used to compute the heat generation rate field around the tumour. We used FRL to convey results from the microsphere simulation to the treatment model. FRL facilitated the conversion of the coordinate systems and approximated the integral over regions of the microsphere deposition field.

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Year:  2007        PMID: 17434811     DOI: 10.1016/j.jbi.2007.03.001

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  3 in total

1.  Commentaries on "Informatics and medicine: from molecules to populations".

Authors:  R B Altman; R Balling; J F Brinkley; E Coiera; F Consorti; M A Dhansay; A Geissbuhler; W Hersh; S Y Kwankam; N M Lorenzi; F Martin-Sanchez; G I Mihalas; Y Shahar; K Takabayashi; G Wiederhold
Journal:  Methods Inf Med       Date:  2008       Impact factor: 2.176

2.  Computational reasoning across multiple models.

Authors:  Guy Tsafnat; Enrico W Coiera
Journal:  J Am Med Inform Assoc       Date:  2009-08-28       Impact factor: 4.497

Review 3.  Considerations for reporting finite element analysis studies in biomechanics.

Authors:  Ahmet Erdemir; Trent M Guess; Jason Halloran; Srinivas C Tadepalli; Tina M Morrison
Journal:  J Biomech       Date:  2012-01-10       Impact factor: 2.712

  3 in total

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