Sharing object models for multi-modality medical image simulation: a semantic approach

Abstract : Medical image simulation produces virtual images from software representations of imaging devices and virtual object models representing the human body. Object models consist of the geometry of the objects (e.g. organs, tissues, pathological structures, etc.) and of their physical parameters used for the simulation. The diversity of this information makes it difficult to share and reuse across simulation modalities and users. We address this issue by explicitly describing object models using a semantic approach. In particular, we developed an ontology that contains the relevant concepts and relations of the domain of object models for image simulation. This ontology is used to annotate object models and to describe their content and structure. In this paper, we present the construction steps of this ontology, the representation choices and we illustrate how it is used to annotate object models.
Document type :
Conference papers
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01922169
Contributor : Denis Friboulet <>
Submitted on : Friday, November 15, 2019 - 11:43:40 AM
Last modification on : Friday, November 29, 2019 - 1:52:08 AM

Identifiers

Citation

G. Forestier, A. Marion, H. Benoit-Cattin, P. Clarysse, D. Friboulet, et al.. Sharing object models for multi-modality medical image simulation: a semantic approach. The 24th International Symposium on Computer-Based Medical Systems (CBMS 2011), 2011, Bristol, UK, United Kingdom. pp.1-6, ⟨10.1109/CBMS.2011.5999167⟩. ⟨hal-01922169⟩

Share

Metrics

Record views

158

Files downloads

70