WebMedSA: A web-based framework for segmenting and annotating medical images using biomedical ontologies

Francisco Vega, Wilson Pérez, Andrés Tello, Victor Saquicela, Mauricio Espinoza, Lizandro Solano-Quinde, Maria Esther Vidal, Alexandra La Cruz

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Advances in medical imaging have fostered medical diagnosis based on digital images. Consequently, the number of studies by medical images diagnosis increases, thus, collaborative work and tele-radiology systems are required to effectively scale up to this diagnosis trend. We tackle the problem of the collaborative access of medical images, and present WebMedSA, a framework to manage large datasets of medical images. WebMedSA relies on a PACS and supports the ontological annotation, as well as segmentation and visualization of the images based on their semantic description. Ontological annotations can be performed directly on the volumetric image or at different image planes (e.g., axial, coronal, or sagittal); furthermore, annotations can be complemented after applying a segmentation technique. WebMedSA is based on three main steps: (1) RDF-ization process for extracting, anonymizing, and serializing metadata comprised in DICOM medical images into RDF/XML; (2) Integration of different biomedical ontologies (using L-MOM library), making this approach ontology independent; and (3) segmentation and visualization of annotated data which is further used to generate new annotations according to expert knowledge, and validation. Initial user evaluations suggest that WebMedSA facilitates the exchange of knowledge between radiologists, and provides the basis for collaborative work among them.

Idioma originalInglés
Título de la publicación alojada11th International Symposium on Medical Information Processing and Analysis
EditoresJuan D. Garcia-Arteaga, Jorge Brieva, Natasha Lepore, Eduardo Romero
EditorialSPIE
ISBN (versión digital)9781628419160
DOI
EstadoPublicada - 2015
Evento11th International Symposium on Medical Information Processing and Analysis, SIPAIM 2015 - Cuenca, Ecuador
Duración: 17 nov 201519 nov 2015

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen9681
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

Conferencia11th International Symposium on Medical Information Processing and Analysis, SIPAIM 2015
País/TerritorioEcuador
CiudadCuenca
Período17/11/1519/11/15

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