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Imagej's contribution to left ventricular segmentation in myocardial perfusion imaging

2017-06Journal article Open access
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dc.contributor.authorSousa, Carlota Leonardo
dc.contributor.authorCarolino, Elisabete
dc.contributor.authorFigueiredo, Sérgio
dc.contributor.authorVieira, Lina
dc.date.accessioned2017-12-20T15:13:57Z
dc.date.available2017-12-20T15:13:57Z
dc.date.issued2017-06
dc.description.abstractIntroduction: The Myocardial Perfusion Imaging (MPI) is a non-invasive image test that allows the assessment of perfusion, function, and viability of the Left Ventricle (LV). The quantitative parameters obtained post-reconstruction requires an accurate segmentation of the LV. ImageJ is an open-source software that provides segmentation techniques that may contribute to the segmentation of the LV in the MPI. The purpose of this study was to study the influence of the different segmentation methods provided by ImageJ, in MPI, depending on the administered activity. Material and methods: We carried out an experimental research with 4 MPI studies simulated with 275, 385, 500 and 750 Bq/voxel in the myocardium, whose short-axis (SA) slices were segmented with ImageJ by the threshold default, OTSU, and k-means Plugin Toolkit methods (k=2, k=3). To analyze the most appropriate segmentation method, the signal-to-noise ratio (SNR) for each short-axis (SA) slice was calculated, in accordance with the slices obtained from the software Quantitative Perfusion Single Photon Emission Computed Tomography® (QPS®) and by manual segmentation using ImageJ. To analyze the SNR with ImageJ and QPS® segmentation methods in the same simulated study, and to compare with the same segmentation method in different simulated studies, the Friedman and Kruskal-Wallis tests were applied. Results and discussion: The method k-means with k=3 is the most suitable method for the segmentation of the LV, regardless of the administered activity. Conclusion: This study may contribute to the clinical implementation of open-source based segmentation methods of the LV in MPI, according to the activity in the myocardium.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSousa CL (Carlota Leonardo), Carolino E, Figueiredo S, Vieira L. Imagej’s contribution to left ventricular segmentation in myocardial perfusion imaging. Nucl Med Biomed Imaging. 2017;2(2):1-7.pt_PT
dc.identifier.doi10.15761/NMBI.1000119pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/7746
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherOATpt_PT
dc.relation.publisherversionhttp://www.oatext.com/pdf/NMBI-2-119.pdfpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectNuclear medicinept_PT
dc.subjectImagejpt_PT
dc.subjectMyocardial perfusion imagingpt_PT
dc.subjectSegmentationpt_PT
dc.subjectSignal-to-noise ratiopt_PT
dc.titleImagej's contribution to left ventricular segmentation in myocardial perfusion imagingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue2pt_PT
oaire.citation.titleNuclear Medicine and Biomedical Imagingpt_PT
oaire.citation.volume2pt_PT
person.familyNameCarolino
person.givenNameElisabete
person.identifier.ciencia-id1216-EFA3-1E0F
person.identifier.orcid0000-0003-4165-7052
person.identifier.ridF-1012-2015
person.identifier.scopus-author-id25821697000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication77930d39-ed34-44dc-a4a6-9bf833e5e688
relation.isAuthorOfPublication.latestForDiscovery77930d39-ed34-44dc-a4a6-9bf833e5e688

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