Evidence map›Paper›PMID 35750717›Full record

ArticleScientific reports2022

Random walk diffusion simulations in semi-permeable layered media with varying diffusivity.

Ignasi Alemany, Jan N Rose, Jérôme Garnier-Brun, Andrew D Scott, Denis J Doorly

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Ignasi Alemany *Department of Aeronautics, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK. ignasi.alemany18@imperial.ac.uk.
Jan N Rose *Department of Aeronautics, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK. jan.rose14@imperial.ac.uk.
Jérôme Garnier-BrunDepartment of Aeronautics, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
Andrew D ScottCardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK.
Denis J DoorlyDepartment of Aeronautics, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.

Funding

British Heart Foundation RE/13/4/30184British Heart Foundation RG/19/1/34160
6 · The paper itself

Abstract

In this paper we present random walk based solutions to diffusion in semi-permeable layered media with varying diffusivity. We propose a novel transit model for solving the interaction of random walkers with a membrane. This hybrid model is based on treating the membrane permeability and the step change in diffusion coefficient as two interactions separated by an infinitesimally small layer. By conducting an extensive analytical flux analysis, the performance of our hybrid model is compared with a commonly used membrane transit model (reference model). Numerical simulations demonstrate the limitations of the reference model in dealing with step changes in diffusivity and show the capability of the hybrid model to overcome this limitation and to offer substantial gains in computational efficiency. The suitability of both random walk transit models for the application to simulations of diffusion tensor cardiovascular magnetic resonance (DT-CMR) imaging is assessed in a histology-based domain relevant to DT-CMR. In order to demonstrate the usefulness of the new hybrid model for other possible applications, we also consider a larger range of permeabilities beyond those commonly found in biological tissues.

Indexed as

Diffusion Magnetic Resonance ImagingDiffusion Tensor ImagingDiffusionHeartMagnetic Resonance Imaging

Identifiers

PMID35750717
PMCPMC9232609

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Registered trials

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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.