Evidence map›Paper›PMID 41145960›Full record

ArticleMagnetic resonance in medicine2026

Versatile and Highly Efficient MRI Simulation of Arbitrary Motion in KomaMRI.

Pablo Villacorta-Aylagas, Carlos Andrés Castillo-Passi, Ryan Anders Kierulf, Rosa María Menchón-Lara, Justino R Rodríguez-Galván, José Benito Sierra-Pallares, Pablo Irarrazaval, Carlos Alberola-López

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. 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
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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

8 authors.

Pablo Villacorta-AylagasLaboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain.ORCID https://orcid.org/0009-0004-7323-186X
Carlos Andrés Castillo-PassiSchool of Biomedical Engineering and Imaging Sciences, Kings College, London, UK.ORCID https://orcid.org/0000-0001-6227-0477
Ryan Anders KierulfSchool of Computer, Data & Information Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0003-4863-2376
Rosa María Menchón-LaraLaboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain.ORCID https://orcid.org/0000-0002-1543-6670
Justino R Rodríguez-GalvánLaboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain.ORCID https://orcid.org/0000-0003-2390-5390
José Benito Sierra-PallaresDepartment of Energy Engineering and Fluid Mechanics & ITAP, Universidad de Valladolid, Valladolid, Spain.ORCID https://orcid.org/0000-0003-1565-9337
Pablo IrarrazavalSchool of Biomedical Engineering and Imaging Sciences, Kings College, London, UK.ORCID https://orcid.org/0000-0002-5186-2642
Carlos Alberola-LópezLaboratorio de Procesado de Imagen, Universidad de Valladolid, Valladolid, Spain.ORCID https://orcid.org/0000-0003-3684-0055

Funding

Agencia Estatal de Investigación CPP2021-008880Agencia Estatal de Investigación PID2020-115339RB-I00Agencia Estatal de Investigación PID2022-142166NA-I00Agencia Estatal de Investigación RYC2023-045078-IAgencia Estatal de Investigación TED2021- 130090B-I00Fondo Nacional de Desarrollo Científico y Tecnológico 1210747Fondo Nacional de Desarrollo Científico y Tecnológico 3240576Fondo Nacional de Desarrollo Científico y Tecnológico ICN2021_004'la Caixa' Foundation HR22-00533
6 · The paper itself

Abstract

purposeTo extend the KomaMRI simulator with motion capabilities that enable the simulation of both simple, parametrizable motion patterns and arbitrarily complex spin trajectories. Additionally, we introduce a novel file format for storing and sharing dynamic digital phantoms.

methodsThe existing Phantom structure in KomaMRI has been extended with a new motion field, which preserves support for static phantoms and introduces the capability to define dynamic models, composed of either a single or an arbitrary set of elementary motions. Each motion entry is composed of an action, a time curve, and a spin span, allowing for modular definition and full parameter independence across motion components. An HDF5-based phantom file format has been defined, along with two I/O functions within the simulator. Motion-related MRI experiments have been conducted for both illustrative and comparative evaluation.

resultsIllustrative experiments reveal motion-related effects commonly observed in real MRI, such as time of flight and phase contrast. Comparative evaluations show strong qualitative and quantitative agreement with results reported by other simulation tools and with at least a three-fold reduction in computation time.

conclusionsThe proposed extension adds flexible motion modeling and simulation capabilities to KomaMRI. The proposed new functions allow for accurate and high temporal and spatial resolution, only limited by computational cost.

Indexed as

Magnetic Resonance ImagingAlgorithmsComputer SimulationHumansImage Processing, Computer-AssistedMotionMovementPhantoms, ImagingReproducibility of ResultsmotionMRI simulationopen‐sourceperformance

Identifiers

PMID41145960
PMCPMC12746406

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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.