Development and validation of an open source quantification tool for DSC-MRI studies

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dc.contributor.author Macías Gordaliza, Pedro
dc.contributor.author Mateos-Pérez, José M.
dc.contributor.author Montesinos, P.
dc.contributor.author Guzmán de Villoria, Juán Adán
dc.contributor.author Desco Menéndez, Manuel
dc.contributor.author Vaquero López, Juan José
dc.date.accessioned 2015-03-10T10:25:27Z
dc.date.available 2015-03-10T10:25:27Z
dc.date.issued 2015-03
dc.identifier.bibliographicCitation Computers in Biology and Medicine (2015). 58, 56-62.
dc.identifier.issn 0010-4825
dc.identifier.uri http://hdl.handle.net/10016/20227
dc.description.abstract Motivation. This work presents the development of an open source tool for the quantification of dynamic susceptibility-weighted contrast-enhanced (DSC) perfusion studies. The development of this tool is motivated by the lack of open source tools implemented on open platforms to allow external developers to implement their own quantification methods easily and without the need of paying for a development license.
dc.description.abstract Materials and methods. This quantification tool was developed as a plugin for the ImageJ image analysis platform using the Java programming language. A modular approach was used in the implementation of the components, in such a way that the addition of new methods can be done without breaking any of the existing functionalities. For the validation process, images from seven patients with brain tumors were acquired and quantified with the presented tool and with a widely used clinical software package. The resulting perfusion parameters were then compared.
dc.description.abstract Results. Perfusion parameters and the corresponding parametric images were obtained. When no gamma-fitting is used, an excellent agreement with the tool used as a gold-standard was obtained (R²>0.8 and values are within 95% CI limits in Bland–Altman plots).
dc.description.abstract Conclusion. An open source tool that performs quantification of perfusion studies using magnetic resonance imaging has been developed and validated using a clinical software package. It works as an ImageJ plugin and the source code has been published with an open source license.
dc.description.sponsorship This work was partially supported by the Human Frontier Science Program (Research Grant 2013).
dc.format.extent 7
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2015 Elsevier B.V.
dc.subject.other Magnetic resonance imaging
dc.subject.other Perfusion
dc.subject.other ImageJ
dc.subject.other Open source
dc.subject.other Software tool
dc.title Development and validation of an open source quantification tool for DSC-MRI studies
dc.type article
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1016/j.compbiomed.2015.01.002
dc.subject.eciencia Biología y Biomedicina
dc.identifier.doi 10.1016/j.compbiomed.2015.01.002
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 56
dc.identifier.publicationlastpage 62
dc.identifier.publicationtitle Computers in biology and medicine
dc.identifier.publicationvolume 58
dc.identifier.uxxi AR/0000016370
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