Evidence map›Paper›PMID 42192055›Full record

ArticleMagma (New York, N.Y.)2026

Denoising strategies for higher resolution Q-space trajectory imaging with limited scanner hardware.

Ivan Aran Rashid, Minna Lerner, Lars Erik Olsson, Patrik Brynolfsson

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Article in Magma (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ivan Aran RashidDepartment of Translational Medicine, Medical Radiation Physics, Lund University, Malmö, Sweden. ivan.rashid@med.lu.se.ORCID http://orcid.org/0009-0002-3704-5803
Minna LernerDepartment of Translational Medicine, Medical Radiation Physics, Lund University, Malmö, Sweden.
Lars Erik OlssonDepartment of Translational Medicine, Medical Radiation Physics, Lund University, Malmö, Sweden.
Patrik BrynolfssonDepartment of Translational Medicine, Medical Radiation Physics, Lund University, Malmö, Sweden.

Funding

Cancerfonden 21 1910 S
6 · The paper itself

Abstract

objectiveQ-space trajectory imaging (QTI) enables detailed characterization of tissue microstructure. Achieving high spatial resolution is challenging due to low signal-to-noise ratio (SNR), particularly on clinical MRI systems with limited gradient capabilities and coil options. This study assessed the potential of denoising methods to improve the resolution of QTI in the brain on a radiotherapy-dedicated MRI scanner. MATERIALS AND

methodsUsing a 3T scanner with a 33 mT/m gradient system, we evaluated four denoising approaches: three methods based on principal component analysis (PCA) and Air Recon DL. Diffusion MRI of phantom and in vivo brain was acquired at voxel sizes from 3 × 3 × 3 to 1.25 × 1.25 × 1.25 mm

resultsDenoising complex images was required to mitigate noise floor bias and increase resolution. The denoising methods varied in performance in terms of signal variance at high b-values. One PCA method enabled a decreased voxel size of 2 × 2 × 3 (radiotherapy coil), improving the parameter contrast-to-noise ratio, particularly for fractional anisotropy (+ 30%) and isotropic kurtosis (+ 16%).

conclusionComplex-valued denoising enhances the resolution of QTI at low SNR, improving feasibility for use on constrained scanner hardware.

Indexed as

Diffusion magnetic resonance imagingImage enhancementImage processingNeuroimagingRadiotherapy

Identifiers

PMID42192055

What OpenQuestion holds

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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.