Literature DB >> 26413258

My Corporis Fabrica Embryo: An ontology-based 3D spatio-temporal modeling of human embryo development.

Pierre-Yves Rabattu1, Benoit Massé2, Federico Ulliana3, Marie-Christine Rousset3, Damien Rohmer4, Jean-Claude Léon2, Olivier Palombi5.   

Abstract

BACKGROUND: Embryology is a complex morphologic discipline involving a set of entangled mechanisms, sometime difficult to understand and to visualize. Recent computer based techniques ranging from geometrical to physically based modeling are used to assist the visualization and the simulation of virtual humans for numerous domains such as surgical simulation and learning. On the other side, the ontology-based approach applied to knowledge representation is more and more successfully adopted in the life-science domains to formalize biological entities and phenomena, thanks to a declarative approach for expressing and reasoning over symbolic information. 3D models and ontologies are two complementary ways to describe biological entities that remain largely separated. Indeed, while many ontologies providing a unified formalization of anatomy and embryology exist, they remain only descriptive and make the access to anatomical content of complex 3D embryology models and simulations difficult.
RESULTS: In this work, we present a novel ontology describing the development of the human embryology deforming 3D models. Beyond describing how organs and structures are composed, our ontology integrates a procedural description of their 3D representations, temporal deformation and relations with respect to their developments. We also created inferences rules to express complex connections between entities. It results in a unified description of both the knowledge of the organs deformation and their 3D representations enabling to visualize dynamically the embryo deformation during the Carnegie stages. Through a simplified ontology, containing representative entities which are linked to spatial position and temporal process information, we illustrate the added-value of such a declarative approach for interactive simulation and visualization of 3D embryos.
CONCLUSIONS: Combining ontologies and 3D models enables a declarative description of different embryological models that capture the complexity of human developmental anatomy. Visualizing embryos with 3D geometric models and their animated deformations perhaps paves the way towards some kind of hypothesis-driven application. These can also be used to assist the learning process of this complex knowledge. AVAILABILITY: http://www.mycorporisfabrica.org/.

Entities:  

Year:  2015        PMID: 26413258      PMCID: PMC4582726          DOI: 10.1186/s13326-015-0034-0

Source DB:  PubMed          Journal:  J Biomed Semantics


  20 in total

1.  The Virtual Fly Brain browser and query interface.

Authors:  Nestor Milyaev; David Osumi-Sutherland; Simon Reeve; Nicholas Burton; Richard A Baldock; J Douglas Armstrong
Journal:  Bioinformatics       Date:  2011-12-16       Impact factor: 6.937

2.  Using ontologies linked with geometric models to reason about penetrating injuries.

Authors:  Daniel L Rubin; Olivier Dameron; Yasser Bashir; David Grossman; Parvati Dev; Mark A Musen
Journal:  Artif Intell Med       Date:  2006-05-30       Impact factor: 5.326

Review 3.  Rebirth of human embryology.

Authors:  Raymond F Gasser; R John Cork; Brian J Stillwell; David T McWilliams
Journal:  Dev Dyn       Date:  2014-02-27       Impact factor: 3.780

4.  The mouse atlas and graphical gene-expression database

Authors: 
Journal:  Semin Cell Dev Biol       Date:  1997-10       Impact factor: 7.727

5.  My Corporis Fabrica: an ontology-based tool for reasoning and querying on complex anatomical models.

Authors:  Olivier Palombi; Federico Ulliana; Valentin Favier; Jean-Claude Léon; Marie-Christine Rousset
Journal:  J Biomed Semantics       Date:  2014-05-06

6.  A three-dimensional model of the mouse at embryonic day 9.

Authors:  R M Brune; J B Bard; C Dubreuil; E Guest; W Hill; M Kaufman; M Stark; D Davidson; R A Baldock
Journal:  Dev Biol       Date:  1999-12-15       Impact factor: 3.582

7.  A database for mouse development.

Authors:  M Ringwald; R Baldock; J Bard; M Kaufman; J T Eppig; J E Richardson; J H Nadeau; D Davidson
Journal:  Science       Date:  1994-09-30       Impact factor: 47.728

8.  Disease Ontology: a backbone for disease semantic integration.

Authors:  Lynn Marie Schriml; Cesar Arze; Suvarna Nadendla; Yu-Wei Wayne Chang; Mark Mazaitis; Victor Felix; Gang Feng; Warren Alden Kibbe
Journal:  Nucleic Acids Res       Date:  2011-11-12       Impact factor: 16.971

9.  Uberon, an integrative multi-species anatomy ontology.

Authors:  Christopher J Mungall; Carlo Torniai; Georgios V Gkoutos; Suzanna E Lewis; Melissa A Haendel
Journal:  Genome Biol       Date:  2012-01-31       Impact factor: 13.583

10.  An ontology of human developmental anatomy.

Authors:  Amy Hunter; Matthew H Kaufman; Angus McKay; Richard Baldock; Martin W Simmen; Jonathan B L Bard
Journal:  J Anat       Date:  2003-10       Impact factor: 2.610

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  1 in total

Review 1.  MIRO: guidelines for minimum information for the reporting of an ontology.

Authors:  Nicolas Matentzoglu; James Malone; Chris Mungall; Robert Stevens
Journal:  J Biomed Semantics       Date:  2018-01-18
  1 in total

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