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

Institution:
1Memorial Sloan-Kettering Cancer Center, New York, NY, USA. veerarah@mskcc.org.
2GE Global Research, Niskayuna, NY, USA.
Publisher:
Springer
Publication Date:
Apr-2014
Journal:
Neuroinformatics
Volume Number:
12
Issue Number:
2
Pages:
245-59
Citation:
Neuroinformatics. 2014 Apr;12(2):245-59.
PubMed ID:
24006207
PMCID:
PMC3943828
Keywords:
Faceted search, Ontology, Visualization of 3D anatomy, Patient specific visualizations
Appears in Collections:
NAC, NA-MIC, SLICER
Sponsors:
P41 EB015902/EB/NIBIB NIH HHS/United States
P41 RR013218/RR/NCRR NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Veeraraghavan H., Miller J.V. Faceted Visualization of Three Dimensional Neuroanatomy by Combining Ontology with Faceted Search. Neuroinformatics. 2014 Apr;12(2):245-59. PMID: 24006207. PMCID: PMC3943828.
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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 open-source 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.

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