Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26413258
&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215
My Corporis Fabrica Embryo: An ontology-based 3D spatio-temporal modeling of
human embryo development
#MMPMID26413258
Rabattu PY
; Massé B
; Ulliana F
; Rousset MC
; Rohmer D
; Léon JC
; Palombi O
J Biomed Semantics
2015[]; 6
(?): 36
PMID26413258
show ga
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/.
free
free
free
