Faceted visualization of three dimensional neuroanatomy by combining ontology with faceted search Journal Article


Authors: Veeraraghavan, H.; Miller, J. V.
Article Title: Faceted visualization of three dimensional neuroanatomy by combining ontology with faceted search
Abstract: In this work, we present a faceted-search based approach for visualization of anatomy by combining a three dimensional digital atlas with an anatomy ontology. Specifically, our approach provides a drill-down search interface that exposes the relevant pieces of information (obtained by searching the ontology) for a user query. Hence, the user can produce visualizations starting with minimally specified queries. Furthermore, by automatically translating the user queries into the controlled terminology our approach eliminates the need for the user to use controlled terminology. We demonstrate the scalability of our approach using an abdominal atlas and the same ontology. We implemented our visualization tool on the opensource 3D Slicer software. We present results of our visualization approach by combining a modified Foundational Model of Anatomy (FMA) ontology with the Surgical Planning Laboratory (SPL) Brain 3D digital atlas, and geometric models specific to patients computed using the SPL brain tumor dataset. © 2013 Springer Science+Business Media New York.
Keywords: ontology; faceted search; patient specific visualizations; visualization of 3d anatomy
Journal Title: Neuroinformatics
Volume: 12
Issue: 2
ISSN: 1539-2791
Publisher: Springer Science + Business Media, LLC  
Date Published: 2014-04-01
Start Page: 245
End Page: 259
Language: English
DOI: 10.1007/s12021-013-9202-5
PROVIDER: scopus
PMCID: PMC3943828
PUBMED: 24006207
DOI/URL:
Notes: Neuroinformatics -- Export Date: 2 June 2014 -- CODEN: NEURK -- Source: Scopus
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