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A fully automated method for late ventricular diastole frame selection in post-dive echocardiography without ECG gating

dc.rights.licenseCC1en_US
dc.contributor.authorMarkley, Eric
dc.contributor.authorLe, David
dc.contributor.authorGermonpré, Peter
dc.contributor.authorBALESTRA, Costantino
dc.contributor.authorTillmans, Frauke
dc.contributor.authorDenoble, Petar
dc.contributor.authorFreiberger, Jake
dc.contributor.authorMoon, Richard
dc.contributor.authorDayton, Paul
dc.contributor.authorPapadopoulou, Virginie
dc.date.accessioned2021-04-12T17:29:07Z
dc.date.available2021-04-12T17:29:07Z
dc.date.issued2021-03-02
dc.identifier.issn1066-2936en_US
dc.identifier.urihttps://luck.synhera.be/handle/123456789/874
dc.description.abstractVenous gas emboli (VGE) are often quantified as a marker of decompression stress on echocardiograms. Bubble-counting has been proposed as an easy to learn method, but remains time-consuming, rendering large dataset analysis impractical. Computer automation of VGE counting following this method has therefore been suggested as a means to eliminate rater bias and save time. A necessary step for this automation relies on the selection of a frame during late ventricular diastole (LVD) for each cardiac cycle of the recording. Since electrocardiograms (ECG) are not always recorded in field experiments, here we propose a fully automated method for LVD frame selection based on regional intensity minimization. The algorithm is tested on 20 previously acquired echocardiography recordings (from the original bubble-counting publication), half of which were acquired at rest (Rest) and the other half after leg flexions (Flex). From the 7,140 frames analyzed, sensitivity was found to be 0.913 [95% CI: 0.875-0.940] and specificity 0.997 [95% CI: 0.996-0.998]. The method's performance is also compared to that of random chance selection and found to perform significantly better (p precedes0.0001). No trend in algorithm performance was found with respect to VGE counts, and no significant difference was found between Flex and Rest (p>0.05). In conclusion, full automation of LVD frame selection for the purpose of bubble counting in post-dive echocardiography has been established with excellent accuracy, although we caution that high quality acquisitions remain paramount in retaining high reliability.en_US
dc.description.sponsorshipNoneen_US
dc.language.isoENen_US
dc.publisherUndersea Hyperb Medical societyen_US
dc.relation.ispartofUndersea Hyperb Medicineen_US
dc.relation.isreferencedbyhttps://www.ncbi.nlm.nih.gov/pubmed/33648036en_US
dc.rights.urihttps://www.uhms.org/images/UHM-Journal/INSTRUCTIONS_FOR_AUTHORS_rev_6-2020.pdfen_US
dc.titleA fully automated method for late ventricular diastole frame selection in post-dive echocardiography without ECG gatingen_US
dc.typeArticle scientifiqueen_US
synhera.classificationSciences de la santé humaineen_US
synhera.institutionHE Bruxelles Brabanten_US
synhera.otherinstitutionDuke University (North Carolina)en_US
synhera.otherinstitutionChapel Hill University (North Carolina)en_US
synhera.cost.total0en_US
synhera.cost.apc0en_US
synhera.cost.comp0en_US
synhera.cost.acccomp0en_US
dc.description.versionOuien_US
dc.rights.holderUndersea Hyperbaric Medical Societyen_US


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