BeST-Graft viewer, a new system to improve the bone allograft-recipient matching process
dc.contributor.author
dc.date.accessioned
2024-05-09T07:12:19Z
dc.date.available
2024-05-09T07:12:19Z
dc.date.issued
2024-06-01
dc.identifier.issn
0010-4825
dc.identifier.uri
dc.description.abstract
Introduction: Tissue establishments are responsible for processing, testing, preserving, storing, and distributing allografts from donors to be transplanted into recipients. In some situations, a matching process is required to determine the allograft that best fits the recipient. Allograft morphology is a key consideration for the matching process. The manual procedures applied to obtain these parameters make the process error-prone. Material and Methods: A new system to manage bone allograft--recipient matching for tissue establishments is proposed. The system requires bone allografts to be digitalized and the resulting images to be stored in a DICOM file. The system provides functionalities to: (i) manage DICOM files (registered in the PACs) from both allografts and recipients; (ii) reconstruct 3D models from DICOM images; (iii) explore 3D models using 2D, 3D, and multiplanar reconstructions; (iv) take allograft and recipient measurements; and (v) visualize and interact with recipient and allograft data simultaneously. The system has been installed in the Barcelona Tissue Bank (Banc de Sang i Teixits), which has digitalized the bone allografts to test the system. Results: A use case with a femur is presented to test all the viewer functionalities. In addition, the recipient--allograft workflow is evaluated to show the steps of the procedure where the viewer can be used. Conclusions: The bone allograft--recipient matching procedure can be optimized using software tools with functionalities to visualize, interact, and take measurements
dc.description.sponsorship
Project PID2022–137647OB–I00 funded by MCIN/AEI/10.13039/501100011033 and by ERDF, EU
Open Access funding provided thanks to the CRUE-CSIC agreement with Elsevier
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.relation.isformatof
Reproducció digital del document publicat a: https://doi.org/10.1016/j.compbiomed.2024.108553
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Computers in Biology and Medicine, 2024, vol. 176, art.núm.108553
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Articles publicats (D-IMAE)
dc.rights
Reconeixement 4.0 Internacional
dc.rights.uri
dc.source
Vila Duran, Marius Xiberta, Pau Ruiz Altisent, Marc Bermudo, Raquel Leivas, Daniel Fariñas, Oscar Vilarrodona, Anna Boada, Imma 2024 BeST-Graft viewer, a new system to improve the bone allograft-recipient matching process Computers in Biology and Medicine 176 art.núm.108553
dc.subject
dc.title
BeST-Graft viewer, a new system to improve the bone allograft-recipient matching process
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.relation.projectID
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-137647OB-I00/ES/HACIA UN DISEÑO Y DESARROLLO MAS EFICIENTE Y EFECTIVO DE APLICACIONES DE REALIDAD VIRTUAL PARA ENTRENAMIENTO/
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
038807
dc.contributor.funder
dc.type.peerreviewed
peer-reviewed
dc.relation.FundingProgramme
dc.relation.ProjectAcronym
dc.identifier.eissn
1879-0534