Semantic Annotation of Patient-Specific 3D Anatomical Models

Imon Banerjee, Asan Agibetov, Chiara Eva Catalano, Giuseppe Patane, Michela Spagnuolo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, a wide range of advanced techniques provides accurate and detailed 3D data about patients' anatomy, as captured by medical scans (MRI, CT, Micro CT, etc.). While medical imaging assists daily clinical practice, 3D patient-specific models (3D-PSMs) of anatomy have still a quite limited use. We consider part-based semantic annotation beneficial to bring 3D-PSMs into clinical practice. To this end, tools are needed to extract clinically relevant information from 3D models, to associate such knowledge with their corresponding parts, and to support the storage, sharing and searching of annotated 3D-PSMs in a structured manner. In this context, we present the Sem Anatomy3D framework, which demonstrates the idea of ontology-driven annotation and indexing of 3D-PSMs and their Parts-of-Relevance, characterized by anatomical landmarks and pathological markers (e.g. Articular and non-articular facets, ligament insertion sites, erosions). The key functionaity is to offer services for part-base annotation of 3D-PSMs which enables search or browse the 3D-PSM according to the annotation attached to its Parts-of-Relevance. The paper describes the results in terms of methods to support the part-based annotation of 3D-PSM, and the formalization of the data model to store and manage global and part-based annotation to improve search and analysis of 3D patient-specific anatomical models and subparts. Finally, we specialized our framework to support the diagnosis of rheumatoid arthritis in the carpal bones, but, in principle, it can support similar tasks in other clinical applications.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 International Conference on Cyberworlds, CW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages22-29
Number of pages8
ISBN (Electronic)9781467394031
DOIs
StatePublished - Feb 3 2016
EventInternational Conference on Cyberworlds, CW 2015 - Visby, Sweden
Duration: Oct 7 2015Oct 9 2015

Publication series

NameProceedings - 2015 International Conference on Cyberworlds, CW 2015

Conference

ConferenceInternational Conference on Cyberworlds, CW 2015
Country/TerritorySweden
CityVisby
Period10/7/1510/9/15

Keywords

  • 3D characterization
  • bio-medical ontology
  • patient-specific 3D model
  • Semantic annotation

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Computer Science Applications
  • Artificial Intelligence

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