Evidence map›Paper›PMID 38273032›Full record

ArticleScientific reports2024

Methodology of generation of CFD meshes and 4D shape reconstruction of coronary arteries from patient-specific dynamic CT.

Krzysztof Psiuk-Maksymowicz, Damian Borys, Bartlomiej Melka, Maria Gracka, Wojciech P Adamczyk, Marek Rojczyk, Jaroslaw Wasilewski, Jan Głowacki, Mariusz Kruk, Marcin Nowak and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. DIRECT MEDICAL IMAGE TO SIMULATION USING AUTO-SEGMENTATION AND POINT CLOUD-BASED CFD.Advances in computational science and engineering · 2025
    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

12 authors.

Krzysztof Psiuk-MaksymowiczDepartment of Systems Biology and Engineering, Silesian University of Technology, 44-100, Gliwice, Poland.
Damian BorysDepartment of Systems Biology and Engineering, Silesian University of Technology, 44-100, Gliwice, Poland. damian.borys@polsl.pl.
Bartlomiej MelkaBiomedical Engineering Lab, Department of Thermal Technology, Silesian University of Technology, 44-100, Gliwice, Poland.
Maria GrackaBiomedical Engineering Lab, Department of Thermal Technology, Silesian University of Technology, 44-100, Gliwice, Poland.
Wojciech P AdamczykBiomedical Engineering Lab, Department of Thermal Technology, Silesian University of Technology, 44-100, Gliwice, Poland.
Marek RojczykBiomedical Engineering Lab, Department of Thermal Technology, Silesian University of Technology, 44-100, Gliwice, Poland.
Jaroslaw WasilewskiThird Department of Cardiology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 41-800, Zabrze, Poland.
Jan GłowackiSilesian Centre for Heart Diseases, 41-800, Zabrze, Poland.
Mariusz KrukDepartment of Coronary and Structural Heart Diseases, National Institute of Cardiology, 04-628, Warsaw, Poland.
Marcin NowakDepartment of Mechanics of Materials and Structures, Gdańsk University of Technology, 80-233, Gdańsk, Poland.
Ziemowit OstrowskiBiomedical Engineering Lab, Department of Thermal Technology, Silesian University of Technology, 44-100, Gliwice, Poland. ziemowit.ostrowski@polsl.pl.
Ryszard A BialeckiBiomedical Engineering Lab, Department of Thermal Technology, Silesian University of Technology, 44-100, Gliwice, Poland.

Funding

EU Innovative Economy Program POIG.02.01.00-00-166/08EU Innovative Economy Program POIG.02.03.01-00-040/13Faculty of Energy and Environmental Engineering of SUT statutory research fundsNational Centre of Research and Development, Poland TANGO3/420990/NCBR/2019National Science Center, Poland 2017/27/B/ST8/01046National Science Center, Poland UMO-2019/34/H/ST8/00624
6 · The paper itself

Abstract

Due to the difficulties in retrieving both the time-dependent shapes of the vessels and the generation of numerical meshes for such cases, most of the simulations of blood flow in the cardiac arteries use static geometry. The article describes a methodology for generating a sequence of time-dependent 3D shapes based on images of different resolutions and qualities acquired from ECG-gated coronary artery CT angiography. The precision of the shape restoration method has been validated using an independent technique. The original proposed approach also generates for each of the retrieved vessel shapes a numerical mesh of the same topology (connectivity matrix), greatly simplifying the CFD blood flow simulations. This feature is of significant importance in practical CFD simulations, as it gives the possibility of using the mesh-morphing utility, minimizing the computation time and the need of interpolation between boundary meshes at subsequent time instants. The developed technique can be applied to generate numerical meshes in arteries and other organs whose shapes change over time. It is applicable to medical images produced by other than angio-CT modalities.

Indexed as

Coronary VesselsHemodynamicsCoronary AngiographyHumansProstheses and ImplantsTomography, X-Ray Computed

Identifiers

PMID38273032
PMCPMC10811335

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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.