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.
authors.affiliation: Memorial Sloan-Kettering Cancer Center, New York, USA, veerarah@mskcc.org.
authors.forename: Harini
authors.initials: H
authors.lastname: Veeraraghavan
authors.forename: James V
authors.initials: JV
authors.lastname: Miller
mesh_terms: D064229:Biological Ontologies; D001921:Brain / Q000033:anatomy & histology*; D016208:Databases, Factual; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D057386:Search Engine; D012984:Software