A fully automated method for late ventricular diastole frame selection in post-dive echocardiography without ECG gating
| Autor: | Petar J. Denoble, Costantino Balestra, Richard E. Moon, Paul A. Dayton, Virginie Papadopoulou, David Q Le, Peter Germonpré, John J. Freiberger, Erik Markley, Frauke Tillmans |
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| Přispěvatelé: | Physiotherapy, Human Physiology and Anatomy, Anatomical Research and Clinical Studies |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Cardiologie et circulation Computer science Decompression Diastole Diving/physiology Hygiène et médecine sportives Image processing Heart Ventricles/diagnostic imaging Echocardiography/methods Sensitivity and Specificity Internal medicine medicine echocardiography Diastole/physiology Humans radiological imaging Selection (genetic algorithm) Myocardial Contraction/physiology Cardiac cycle Frame (networking) Embolism Air/diagnostic imaging scuba diving Médecine pathologie humaine Education physique General Medicine Sciences bio-médicales et agricoles Decompression Sickness/diagnostic imaging image processing Scuba diving Intensity (physics) Ventricular Function/physiology Diagnosis Computer-Assisted/methods Médecine de l'environnement Cardiology Algorithms |
| Zdroj: | Undersea & hyperbaric medicine, 48 (1 |
| DOI: | 10.22462/01.03.2021.9 |
| Popis: | Venous 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≺0.0001). 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. info:eu-repo/semantics/published |
| Databáze: | OpenAIRE |
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