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Neuroinformatics
Published in: Neuroinformatics 2/2014

01-04-2014 | Original Article

Faceted Visualization of Three Dimensional Neuroanatomy By Combining Ontology with Faceted Search

Authors: Harini Veeraraghavan, James V. Miller

Published in: Neuroinformatics | Issue 2/2014

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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.
Appendix
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Footnotes
1
In this work, we use displayable and geometric models interchangeably.
 
2
The gene expression data is however stored in an online server and it is not clear to the authors how this information can be obtained in a machine readable file for integrating with the faceted visualizer. Our discussion is therefore limited to the anatomical structures alone.
 
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Metadata
Title
Faceted Visualization of Three Dimensional Neuroanatomy By Combining Ontology with Faceted Search
Authors
Harini Veeraraghavan
James V. Miller
Publication date
01-04-2014
Publisher
Springer US
Published in
Neuroinformatics / Issue 2/2014
Print ISSN: 1539-2791
Electronic ISSN: 1559-0089
DOI
https://doi.org/10.1007/s12021-013-9202-5

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