Ontological labels for automated location of anatomical shape differences

Steinert-Threlkeld, Shane and Ardekani, Siamak and Mejino, Jose L.V. and Detwiler, Landon Todd and Brinkley, James F and Halle, Michael and Kikinis, Ron and Winslow, Raimond L. and Miller, Michael I. and Ratnanather, J. Tilak (2012) Ontological labels for automated location of anatomical shape differences. Journal of Biomedical Informatics, 45 (3). pp. 522-527. ISSN 15320464

[thumbnail of nihms355235.pdf]

Download (1MB) | Preview


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.

Item Type: Article
Subjects: All Projects
Depositing User: Jim Brinkley
Date Deposited: 23 Jun 2018 00:39
Last Modified: 09 May 2019 23:44
URI: http://sigpubs.si.washington.edu/id/eprint/288

Actions (login required)

View Item View Item