Evidence map›Paper›PMID 23221816›Full record

ArticleIEEE transactions on medical imaging2013

4D reconstruction of the beating embryonic heart from two orthogonal sets of parallel optical coherence tomography slice-sequences.

Sandeep Bhat, Irina V Larina, Kirill V Larin, Mary E Dickinson, Michael Liebling

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 43 citations in OpenAlex.

  1. Retinal OCT image classification based on MGR-GAN.Medical & biological engineering & computing · 2025
    Article
  2. Article
  3. Mouse embryo phenotyping with optical coherence tomography.Frontiers in cell and developmental biology · 2022
    Review
  4. Article
  5. Embryonic Mouse Cardiodynamic OCT Imaging.Journal of cardiovascular development and disease · 2020
    Review
  6. Review
  7. Article
  8. Optical coherence tomography imaging of cardiac substrates.Quantitative imaging in medicine and surgery · 2019
    Review
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  15. Review
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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

5 authors at 3 institutions in 1 country.

Sandeep BhatDepartment of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106, USA. sandeepkbhat@ece.ucsb.edu
Irina V Larina
Kirill V Larin
Mary E Dickinson
Michael Liebling
Baylor College of Medicine · USUniversity of California, Santa Barbara · USUniversity of Houston · US

Funding

Molecular Physiology of the Cardiovascular SystemT32HL007676 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI HAMILTON, SUSAN L · 1989 to 2020
$7.9M
Optical Coherence Elastography of the CorneaR01EY022362 · NEI · UNIVERSITY OF HOUSTON · PI Salavat R Aglyamov, Kirill V Larin · 2012 to 2026
$6.7M
Biomechanics of early mammalian cardiogenesisR01HL120140 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI LARINA, IRINA · 2013 to 2017
$2.0M
Phenotyping embryonic mammalian heart function using OCTR01HL095586 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI DICKINSON, MARY E, LARIN, KIRILL V · 2009 to 2012
$1.7M
Imaging fluid forces in mouse cardiovascular developmentR01HL077187 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI DICKINSON, MARY E · 2005 to 2007
$1.1M
NEI NIH HHS EY022362NEI NIH HHS R01 EY022362NHLBI NIH HHS HL077187NHLBI NIH HHS HL095586NHLBI NIH HHS R01 HL095586NHLBI NIH HHS R01 HL120140NHLBI NIH HHS T32HL007676
6 · The paper itself

Abstract

Current methods to build dynamic optical coherence tomography (OCT) volumes of the beating embryonic heart involve synchronization of 2D+time slice-sequences acquired over separate heartbeats. Temporal registration of these sequences is performed either through gating or postprocessing. While synchronization algorithms that exclusively rely on image- intrinsic signals allow forgoing external gating hardware, they are prone to error accumulation, require operator-supervised correction, or lead to nonisotropic resolution. Here, we propose an image-based, retrospective reconstruction technique that uses two sets of parallel 2D+T slice-sequences, acquired perpendicularly to each other, to yield accurate and automatic reconstructions with isotropic resolution. The method utilizes the similarity of the data at the slice intersections to spatio-temporally register the two sets of slice sequences and fuse them into a high-resolution 4D volume. We characterize our method by using 1) simulated heart phantom datasets and 2) OCT datasets acquired from the beating heart of live cultured E9.5 mouse and E10.5 rat embryos. We demonstrate that while our method requires greater acquisition and reconstruction time compared to methods that use slices from a single direction, it produces more accurate and self-validating reconstructions since each set of reconstructed slices acts as a reference for the slices in the perpendicular set.

Indexed as

AlgorithmsAnimalsCardiac Imaging TechniquesDatabases, FactualData Interpretation, StatisticalEmbryo, MammalianHeartImaging, Three-DimensionalMiceRatsTomography, Optical Coherence

Identifiers

PMID23221816
PMCPMC4114225
OpenAlexW2071896460

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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.