Evidence map›Paper›PMID 12774895›Full record

ArticleIEEE transactions on medical imaging2003

Three-dimensional motion tracking of coronary arteries in biplane cineangiograms.

Guy Shechter, Frédéric Devernay, Eve Coste-Manière, Arshed Quyyumi, Elliot R McVeigh

Abstract readComparative StudyEvaluation StudyValidation Study
In one paragraph

Article in IEEE transactions on medical imaging, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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  8. Patient-specific coronary blood supply territories for quantitative perfusion analysis.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2018
    Article
  9. Article
  10. Vessel tree tracking in angiographic sequences.Journal of medical imaging (Bellingham, Wash.) · 2017
    Article
  11. Fully automatic reconstruction of personalized 3D volumes of the proximal femur from 2D X-ray images.International journal of computer assisted radiology and surgery · 2016
    Article
  12. Article
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  14. Article
  15. 3-D phantom and in vivo cardiac speckle tracking using a matrix array and raw echo data.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2010
    Article
  16. Characterization of 3-D coronary tree motion from MSCT angiography.IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society · 2010
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  17. Article
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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.

Guy ShechterDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA. guy@jhu.edu
Frédéric Devernay
Eve Coste-Manière
Arshed Quyyumi
Elliot R McVeigh

Funding

ULTRA FAST MRI FOR CARDIOVASCULAR APPLICATIONSZ01HL004608 · NHLBI · HEART, LUNG, AND BLOOD INSTITUTE · PI MCVEIGH, ELLIOT R · 2000 to 2006
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HIGH RESOLUTION ELECTROMECHANICAL MAPPING OF THE HEARTZ01HL004609 · NHLBI · HEART, LUNG, AND BLOOD INSTITUTE · PI MCVEIGH, ELLIOT R · 2000 to 2006
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Intramural NIH HHS Z01 HL004608
6 · The paper itself

Abstract

A three-dimensional (3-D) method for tracking the coronary arteries through a temporal sequence of biplane X-ray angiography images is presented. A 3-D centerline model of the coronary vasculature is reconstructed from a biplane image pair at one time frame, and its motion is tracked using a coarse-to-fine hierarchy of motion models. Three-dimensional constraints on the length of the arteries and on the spatial regularity of the motion field are used to overcome limitations of classical two-dimensional vessel tracking methods, such as tracking vessels through projective occlusions. This algorithm was clinically validated in five patients by tracking the motion of the left coronary tree over one cardiac cycle. The root mean square reprojection errors were found to be submillimeter in 93% (54/58) of the image pairs. The performance of the tracking algorithm was quantified in three dimensions using a deforming vascular phantom. RMS 3-D distance errors were computed between centerline models tracked in the X-ray images and gold-standard centerline models of the phantom generated from a gated 3-D magnetic resonance image acquisition. The mean error was 0.69 (+/- 0.06) mm over eight temporal phases and four different biplane orientations.

Indexed as

MotionArteriesCineangiographyCoronary AngiographyHeart DiseasesHumansImaging, Three-DimensionalPhantoms, ImagingRadiographic Image EnhancementRadiographic Image Interpretation, Computer-Assisted

Identifiers

PMID12774895
PMCPMC2396257

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.