Evidence map›Paper›PMID 25471981›Full record

ArticleMedical physics2014

Right ventricular strain analysis from three-dimensional echocardiography by using temporally diffeomorphic motion estimation.

Zhijun Zhang, Meihua Zhu, Muhammad Ashraf, Craig S Broberg, David J Sahn, Xubo Song

Abstract readValidation Study
In one paragraph

Article in Medical physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhijun ZhangDepartment of Biomedical Engineering, Oregon Health and Science University, Portland, Oregon 97239.
Meihua ZhuDepartment of Pediatric Cardiology, Oregon Health and Science University, Portland, Oregon 97239.
Muhammad AshrafDepartment of Pediatric Cardiology, Oregon Health and Science University, Portland, Oregon 97239.
Craig S BrobergKnight Cardiovascular Institute, Oregon Health and Science University, Portland, Oregon 97239.
David J SahnDepartment of Biomedical Engineering, Oregon Health and Science University, Portland, Oregon 97239 and Department of Pediatric Cardiology, Oregon Health and Science University, Portland, Oregon 97239.
Xubo SongDepartment of Biomedical Engineering, Oregon Health and Science University, Portland, Oregon 97239.

Funding

Defining 4D Ventricular Mechanics in Acquired and Congenital Heart DiseaseR01HL102407 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI SAHN, DAVID J., SONG, XUBO · 2010 to 2013
$1.9M
NHLBI NIH HHS 1R01HL102407-01NHLBI NIH HHS R01 HL102407
6 · The paper itself

Abstract

purposeQuantitative analysis of right ventricle (RV) motion is important for study of the mechanism of congenital and acquired diseases. Unlike left ventricle (LV), motion estimation of RV is more difficult because of its complex shape and thin myocardium. Although attempts of finite element models on MR images and speckle tracking on echocardiography have shown promising results on RV strain analysis, these methods can be improved since the temporal smoothness of the motion is not considered.

methodsThe authors have proposed a temporally diffeomorphic motion estimation method in which a spatiotemporal transformation is estimated by optimization of a registration energy functional of the velocity field in their earlier work. The proposed motion estimation method is a fully automatic process for general image sequences. The authors apply the method by combining with a semiautomatic myocardium segmentation method to the RV strain analysis of three-dimensional (3D) echocardiographic sequences of five open-chest pigs under different steady states.

resultsThe authors compare the peak two-point strains derived by their method with those estimated from the sonomicrometry, the results show that they have high correlation. The motion of the right ventricular free wall is studied by using segmental strains. The baseline sequence results show that the segmental strains in their methods are consistent with results obtained by other image modalities such as MRI. The image sequences of pacing steady states show that segments with the largest strain variation coincide with the pacing sites.

conclusionsThe high correlation of the peak two-point strains of their method and sonomicrometry under different steady states demonstrates that their RV motion estimation has high accuracy. The closeness of the segmental strain of their method to those from MRI shows the feasibility of their method in the study of RV function by using 3D echocardiography. The strain analysis of the pacing steady states shows the potential utility of their method in study on RV diseases.

Indexed as

AnimalsBiophysical PhenomenaEchocardiography, Three-DimensionalHeart VentriclesHumansImaging, Three-DimensionalModels, AnimalModels, CardiovascularMotionSwineVentricular Dysfunction, Right

Identifiers

PMID25471981
PMCPMC4241709

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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.