Evidence map›Paper›PMID 30798510›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Temporal enhancement of 2D color Doppler echocardiography sequences by fragment-based frame reordering and refinement.

Alexey B Terentjev, Douglas P Perrin, Scott H Settlemier, David Zurakowski, Pavel O Smirnov, Pedro J Del Nido, Igor V Shturts, Nikolay V Vasilyev

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Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Alexey B TerentjevPeter the Great St. Petersburg Polytechnic University, Polytechnicheskaya 29, Saint Petersburg, Russia.ORCID http://orcid.org/0000-0003-3149-4456
Douglas P PerrinBoston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA, 02115, USA.
Scott H SettlemierPhilips Healthcare, 3000 Minuteman Road, Andover, MA, 01810, USA.
David ZurakowskiBoston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA, 02115, USA.
Pavel O SmirnovPeter the Great St. Petersburg Polytechnic University, Polytechnicheskaya 29, Saint Petersburg, Russia.ORCID http://orcid.org/0000-0003-3591-5481
Pedro J Del NidoBoston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA, 02115, USA.
Igor V ShturtsPeter the Great St. Petersburg Polytechnic University, Polytechnicheskaya 29, Saint Petersburg, Russia.
Nikolay V VasilyevBoston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA, 02115, USA. Nikolay.Vasliyev@childrens.harvard.edu.ORCID http://orcid.org/0000-0002-8181-8044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe goal of this study was to develop an algorithm that enhances the temporal resolution of two-dimensional color Doppler echocardiography (2D CDE) by reordering all the acquired frames and filtering out the frames corrupted by out-of-plane motion and arrhythmia.

methodsThe algorithm splits original frame sequence into the fragments based on the correlation with a reference frame. Then, the fragments are aligned temporally and merged into a resulting sequence that has higher temporal resolution. We evaluated the algorithm with 10 animal epicardial 2D CDE datasets of the right ventricle and compared it with the existing approaches in terms of resulting frame rate, image stability and execution time.

resultsWe identified the optimal combination of alternatives for each step, which resulted in an increase in frame rate from 14 ± 0.87 to 238 ± 93 Hz. The average execution time was 7.23 ± 0.48 s in comparison with 0.009 ± 0.001 s for ECG gating and 1167.37 ± 587.85 s for flow reordering. Our approach demonstrated a significant (p < 0.01) increase in image stability compared with ECG gating and flow reordering.

conclusionThis work presents an offline algorithm for temporal enhancement of 2D CDE. Unlike previous frame reordering approaches, it can filter out-of-plane or corrupted frames, increasing the quality of the results, which substantially increases diagnostic value of 2D CDE. It can be used for high-frame-rate intraoperative imaging of intraventricular and valve regurgitant flows and is potentially modifiable for real-time use on ultrasound machines.

Indexed as

AlgorithmsArrhythmias, CardiacEchocardiography, Doppler, ColorHeart VentriclesHumansImage EnhancementReproducibility of ResultsColor Doppler echocardiographyFragment alignmentFrame reorderingHigh-frame-rate imagingIntraoperative ultrasound imagingVentricular flow imaging

Identifiers

PMID30798510

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.