Authors:
Bartłomiej Wilkowski
1
;
Óscar N. M. Pereira
2
;
Paulo Dias
2
;
Miguel Castro
3
and
Marcin Janickiź
4
Affiliations:
1
Informatics and Mathematical Modelling, Technical University of Denmark, Denmark
;
2
IEETA-Institute of Electronics and Telematics Engineering of Aveiro, University of Aveiro, Portugal
;
3
Centro Hospitalar do Baixo Alentejo - Hospital José Joaquim Fernandes de Beja, Portugal
;
4
Technical University of Łód, Poland
Keyword(s):
Computed axial tomography, Ontology, Radiological report, Image visualization.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Cloud Computing
;
e-Health
;
Health Information Systems
;
Online Medical Applications
;
Platforms and Applications
;
Semantic Interoperability
Abstract:
This article presents MIAWARE, a software for Medical Image Analysis With Automated Reporting Engine, which was designed and developed for doctor/radiologist assistance. It allows to analyze an image stack from computed axial tomography scan of lungs (thorax) and, at the same time, to mark all pathologies on images and report their characteristics. The reporting process is normalized - radiologists cannot describe pathological changes with their own words, but can only use some terms from a specific vocabulary set provided by the software. Consequently, a normalized radiological report is automatically generated. Furthermore, MIAWARE software is accompanied with an intelligent search engine for medical reports, based on the relations between parts of the lungs. A logical structure of the lungs is introduced to the search algorithm through the specially developed ontology. As a result, a deductive report search was obtained, which may be helpful for doctors while diagnosing patients’
cases. Finally, the MIAWARE software can be considered also as a teaching tool for future radiologists and physicians.
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