Evidence map›Paper›PMID 30393895›Full record

ArticleMagnetic resonance in medicine2019

Model-based reconstruction framework for correction of signal pile-up and geometric distortions in prostate diffusion MRI.

Muhammad Usman, Lebina Kakkar, Alex Kirkham, Simon Arridge, David Atkinson

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  7. Characterization of BPhysics in medicine and biology · 2020
    Article
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  9. Joint BMagnetic resonance imaging · 2020
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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.

Muhammad UsmanCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
Lebina KakkarCentre for Medical Imaging, Division of Medicine, University College Hospital, London, United Kingdom.
Alex KirkhamDepartment of Radiology, University College Hospital, London, United Kingdom.
Simon ArridgeCentre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
David AtkinsonCentre for Medical Imaging, Division of Medicine, University College Hospital, London, United Kingdom.ORCID 0000-0003-1124-6666

Funding

Cancer Research UK 21099Cancer Research UK A21099
6 · The paper itself

Abstract

purposeProstate diffusion-weighted MRI scans can suffer from geometric distortions, signal pileup, and signal dropout attributed to differences in tissue susceptibility values at the interface between the prostate and rectal air. The aim of this work is to present and validate a novel model based reconstruction method that can correct for these distortions.

methodsIn regions of severe signal pileup, standard techniques for distortion correction have difficulty recovering the underlying true signal. Furthermore, because of drifts and inaccuracies in the determination of center frequency, echo planar imaging (EPI) scans can be shifted in the phase-encoding direction. In this work, using a B

resultsWithout distortion correction, mean Dice similarity scores between a reference T2W and the uncorrected EPI images were 0.64 and 0.60 for b-values of 0 and 500 s/mm

conclusionModel-based reconstruction can be used for distortion correction in prostate diffusion MRI.

Indexed as

Diffusion Magnetic Resonance ImagingEcho-Planar ImagingAgedAlgorithmsArtifactsDiffusionHumansImage Processing, Computer-AssistedMaleMiddle AgedModels, TheoreticalProstateProstatic Neoplasmsdiffusiongeometric distortionprostate MRIsignal pile-up

Identifiers

PMID30393895
PMCPMC6492108

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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.