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Segmentation of the bone structure from MRI Knee Joint - A use case

dc.contributor.authorSilva, Vasco
dc.contributor.authorVilaça, Adélio
dc.contributor.authorVeloso, Rita
dc.contributor.authorCoelho, Luís
dc.contributor.authorMagalhães, Renato
dc.contributor.authorMagalhães, Renato
dc.date.accessioned2025-05-08T16:45:09Z
dc.date.available2025-05-08T16:45:09Z
dc.date.issued2024-10
dc.description.abstractManual and automatic segmentation techniques can be applied to DICOM medical images from magnetic resonance imaging (MRI) to extract certain structures, such as soft tissues, but the precise extraction of bone structures may be limited. This study studies these types of knee bone tissue segmentation on MRI, to avoid the need to resort to computed tomography (CT) for obtaining the desired bone structures. Manual segmentation was done using ITK-Snap and automatic segmentation algorithms were applied in Python and the ITK library. As a result of this study, it was found that although manual segmentation allowed for precise and consistent identification of the femur, tibia, fibula, and patella, the automatic segmentation needed to achieve the same level of accuracy.por
dc.identifier.citationVasco Silva, A. V., Veloso, R., Coelho, L., & Magalhães, R. (2024). Segmentation of the bone structure from MRI knee joint—A use case. Proceedings XoveTIC 2024, 81–88. https://doi.org/10.17979/spudc.9788497498913.12
dc.identifier.doi10.17979/spudc.9788497498913.12
dc.identifier.urihttp://hdl.handle.net/10400.22/30050
dc.language.isoeng
dc.peerreviewedyes
dc.publisherUniversidade da Coruña
dc.relation.hasversionhttps://ruc.udc.es/dspace/handle/2183/40767
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMagnetic resonance imaging (MRI)
dc.subjectDICOM
dc.titleSegmentation of the bone structure from MRI Knee Joint - A use casepor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2024-10
oaire.citation.conferencePlaceCorunha
oaire.citation.endPage88
oaire.citation.startPage81
oaire.citation.titleProceedings XoveTIC 2024
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMagalhães
person.givenNameRenato
person.identifier.ciencia-id2310-C257-251A
person.identifier.orcid0000-0002-8488-0943
relation.isAuthorOfPublicationff2f21fc-c1e1-48ac-8d0d-fc6e217483de
relation.isAuthorOfPublication.latestForDiscoveryff2f21fc-c1e1-48ac-8d0d-fc6e217483de

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