Evidence map›Paper›PMID 31713090›Full record

ArticleInternational journal of computer assisted radiology and surgery2020

Fusion of 3D real-time echocardiography and cine MRI using a saliency analysis.

Angélica Atehortúa, Mireille Garreau, Antoine Simon, Erwan Donal, Mathieu Lederlin, Eduardo Romero

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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. 3D-XGuide: open-source X-ray navigation guidance system.International journal of computer assisted radiology and surgery · 2021
    Article
  4. 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

6 authors at 2 institutions in 2 countries.

Angélica AtehortúaUniv Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, 35000, Rennes, France. amatehortual@unal.edu.co.ORCID http://orcid.org/0000-0002-6192-1757
Mireille GarreauUniv Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, 35000, Rennes, France.
Antoine SimonUniv Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, 35000, Rennes, France.ORCID http://orcid.org/0000-0001-6023-6427
Erwan DonalUniv Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, 35000, Rennes, France.ORCID http://orcid.org/0000-0002-9083-1582
Mathieu LederlinUniv Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, 35000, Rennes, France.ORCID http://orcid.org/0000-0003-1388-5277
Eduardo RomeroUniversidad Nacional de Colombia, Bogotá, Colombia.ORCID http://orcid.org/0000-0003-2088-2509
Inserm · FRUniversidad Nacional de Colombia · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis paper presents a novel 3D multimodal registration strategy to fuse 3D real-time echocardiography images with cardiac cine MRI images. This alignment is performed in a saliency space, which is designed to maximize similarity between the two imaging modalities. This fusion improves the quality of the available information.

methodsThe method performs in two steps: temporal and spatial registrations. A temporal alignment is firstly achieved by nonlinearly matching pairs of correspondences between the two modalities using a dynamic time warping. A temporal registration is then carried out by applying nonrigid transformations in a common saliency space where normalized cross correlation between temporal pairs of salient volumes is maximized.

resultsThe alignment performance was evaluated with a set of 18 subjects, 3 with cardiomyopathies and 15 healthy, by computing the Dice score and Hausdorff distance with respect to manual delineations of the left ventricle cavity in both modalities. A Dice score and Hausdorff distance of [Formula: see text] and [Formula: see text], respectively, were obtained. In addition, the deformation field was estimated by quantifying its foldings, obtaining a 98% of regularity in the deformation field.

conclusionsThe 3D multimodal registration strategy presented is performed in a saliency space. Unlike state-of-the-art methods, the presented one takes advantage of the temporal information of the heart to construct this common space, ending up with two well-aligned modalities and regular deformation fields. This preliminary study was evaluated on heterogeneous data composed of two different datasets, healthy and pathological cases, showing similar performances in both cases. Future work will focus on testing the presented strategy in a larger dataset with a balanced number of classes.

Indexed as

AlgorithmsCardiomyopathiesEchocardiographyHeartHeart VentriclesHumansImaging, Three-DimensionalMagnetic Resonance Imaging, CineMultimodal ImagingCardiac cine MRI imagesEchocardiographyImage registrationSpatio-temporal saliency

Identifiers

PMID31713090
OpenAlexW2987457196

What OpenQuestion holds

Textmetadata
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.