Evidence map›Paper›PMID 28626939›Full record

ArticleMedical physics2017

Technical Note: A 3-D rendering algorithm for electromechanical wave imaging of a beating heart.

Pierre Nauleau, Lea Melki, Elaine Wan, Elisa Konofagou

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cardiac Resynchronization Therapy Response Assessment with Electromechanical Activation Mapping within 24 Hours of Device Implantation: A Pilot Study.Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography · 2021
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Pierre NauleauDepartment of Biomedical Engineering, Columbia University, 1210 Amsterdam Avenue, New York, NY, 10027, USA.
Lea MelkiDepartment of Biomedical Engineering, Columbia University, 1210 Amsterdam Avenue, New York, NY, 10027, USA.
Elaine WanDepartment of Medicine - Division of Cardiology, College of Physicians and Surgeons, Columbia University, 161 Fort Washington Avenue, New York, NY, 10032, USA.
Elisa KonofagouDepartment of Biomedical Engineering, Columbia University, 1210 Amsterdam Avenue, New York, NY, 10027, USA.
Columbia University · US

Funding

EARLY DETECTION AND MAPPING OF ISCHEMIA USING MYOCARDIAL ELASTOGRAPHYR01EB006042 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KONOFAGOU, ELISA E. · 2006 to 2018
$4.3M
Noninvasive arrhythmia mapping using Electromechanical Wave ImagingR01HL114358 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KONOFAGOU, ELISA E. · 2012 to 2016
$1.9M
NHLBI NIH HHS R01 HL114358NIBIB NIH HHS R01 EB006042
6 · The paper itself

Abstract

purposeArrhythmias can be treated by ablating the heart tissue in the regions of abnormal contraction. The current clinical standard provides electroanatomic 3-D maps to visualize the electrical activation and locate the arrhythmogenic sources. However, the procedure is time-consuming and invasive. Electromechanical wave imaging is an ultrasound-based noninvasive technique that can provide 2-D maps of the electromechanical activation of the heart. In order to fully visualize the complex 3-D pattern of activation, several 2-D views are acquired and processed separately. They are then manually registered with a 3-D rendering software to generate a pseudo-3-D map. However, this last step is operator-dependent and time-consuming.

methodsThis paper presents a method to generate a full 3-D map of the electromechanical activation using multiple 2-D images. Two canine models were considered to illustrate the method: one in normal sinus rhythm and one paced from the lateral region of the heart. Four standard echographic views of each canine heart were acquired. Electromechanical wave imaging was applied to generate four 2-D activation maps of the left ventricle. The radial positions and activation timings of the walls were automatically extracted from those maps. In each slice, from apex to base, these values were interpolated around the circumference to generate a full 3-D map.

resultsIn both cases, a 3-D activation map and a cine-loop of the propagation of the electromechanical wave were automatically generated. The 3-D map showing the electromechanical activation timings overlaid on realistic anatomy assists with the visualization of the sources of earlier activation (which are potential arrhythmogenic sources). The earliest sources of activation corresponded to the expected ones: septum for the normal rhythm and lateral for the pacing case.

conclusionsThe proposed technique provides, automatically, a 3-D electromechanical activation map with a realistic anatomy. This represents a step towards a noninvasive tool to efficiently localize arrhythmias in 3-D.

Indexed as

AlgorithmsUltrasonographyAnimalsArrhythmias, CardiacDogsHeartHeart Conduction SystemHeart VentriclesHumansModels, Animal3-D renderingarrhythmiaelectromechanical wave imagingultrasound

Identifiers

PMID28626939
PMCPMC5603219
OpenAlexW2661985362

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.