title: Ontological labels for automated location of anatomical shape differences.
abstract: A method for automated location of shape differences in diseased anatomical structures via high resolution biomedical atlases annotated with labels from formal ontologies is described. In particular, a high resolution magnetic resonance image of the myocardium of the human left ventricle was segmented and annotated with structural terms from an extracted subset of the Foundational Model of Anatomy ontology. The atlas was registered to the end systole template of a previous study of left ventricular remodeling in cardiomyopathy using a diffeomorphic registration algorithm. The previous study used thresholding and visual inspection to locate a region of statistical significance which distinguished patients with ischemic cardiomyopathy from those with nonischemic cardiomyopathy. Using semantic technologies and the deformed annotated atlas, this location was more precisely found. Although this study used only a cardiac atlas, it provides a proof-of-concept that ontologically labeled biomedical atlases of any anatomical structure can be used to automate location-based inferences.
authors.affiliation: Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA. shanest@jhu.edu
authors.forename: Shane
authors.initials: S
authors.lastname: Steinert-Threlkeld
authors.forename: Siamak
authors.initials: S
authors.lastname: Ardekani
authors.forename: Jose L V
authors.initials: JL
authors.lastname: Mejino
authors.forename: Landon Todd
authors.initials: LT
authors.lastname: Detwiler
authors.forename: James F
authors.initials: JF
authors.lastname: Brinkley
authors.forename: Michael
authors.initials: M
authors.lastname: Halle
authors.forename: Ron
authors.initials: R
authors.lastname: Kikinis
authors.forename: Raimond L
authors.initials: RL
authors.lastname: Winslow
authors.forename: Michael I
authors.initials: MI
authors.lastname: Miller
authors.forename: J Tilak
authors.initials: JT
authors.lastname: Ratnanather
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008955:Models, Cardiovascular; D009203:Myocardial Infarction / Q000000981:diagnostic imaging; D010363:Pattern Recognition, Automated; D011859:Radiography; D012984:Software; D018487:Ventricular Dysfunction, Left / Q000000981:diagnostic imaging