Evidence map›Paper›PMID 40605822›Full record

ArticleMagnetic resonance in medicine2025

pTx-Pulseq in hybrid sequences: Accessible and advanced hybrid open-source MRI sequences on Philips scanners.

Thomas H M Roos, Edwin Versteeg, Mark Gosselink, Hans Hoogduin, Kyung Min Nam, Nicolas Boulant, Vincent Gras, Franck Mauconduit, Dennis W J Klomp, Jeroen C W Siero and 1 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. 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. Review
  3. Article
  4. Article
  5. Article
  6. A vendor-neutral functional MRI acquisition protocol for multi-site studies.medRxiv : the preprint server for health sciences · 2025
    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

11 authors.

Thomas H M RoosDepartment of Radiology and Oncology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0002-3465-7794
Edwin VersteegDepartment of Radiology and Oncology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0003-3235-3970
Mark GosselinkDepartment of Radiology and Oncology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0003-1578-3696
Hans HoogduinDepartment of Radiology and Oncology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0001-7707-0750
Kyung Min NamDepartment of Radiology and Oncology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0002-9185-3986
Nicolas BoulantUniversity of Paris-Saclay, CEA, CNRS, NeuroSpin, BAOBAB, Gif sur Yvette, France.ORCID 0000-0003-2144-2484
Vincent GrasUniversity of Paris-Saclay, CEA, CNRS, NeuroSpin, BAOBAB, Gif sur Yvette, France.ORCID 0000-0002-4997-2738
Franck MauconduitUniversity of Paris-Saclay, CEA, CNRS, NeuroSpin, BAOBAB, Gif sur Yvette, France.ORCID 0000-0002-0128-061X
Dennis W J KlompDepartment of Radiology and Oncology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0002-5884-5386
Jeroen C W SieroDepartment of Radiology and Oncology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0001-5079-2868
Jannie P WijnenDepartment of Radiology and Oncology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0003-2352-3667

Funding

Health˜Holland, Topsector Life Sciences and HealthHORIZON EUROPE European Innovation Council, 2020 Research and Innovation programme 885876Toegepaste en Technische Wetenschappen, NWO, Talent Programme Vidi TTW 2019 18361University Medical Center Utrecht Brain Center, Young Talent Fellowship 2019
6 · The paper itself

Abstract

purposeTo enhance the accessibility of advanced pulse sequences, or parts thereof, through the open-source Pulseq framework. This work extends the Pulseq framework to Philips MRI systems and incorporates dynamic parallel-transmit (pTx) capabilities within the constraints of the existing Pulseq format. This enables the hybrid use of Pulseq sequences within the native vendor's scans, leveraging the combined strengths of both approaches. We showcase a new possibility of these techniques: the use of a portable cross-vendor universal pulse (UP) excitation in a native scan.

methodspTx-Pulseq was implemented to add full dynamic pTx within the Pulseq specification. We developed a Pulseq interpreter for Philips systems, supporting both Pulseq-only and hybrid sequences. The hybrid mode was used to integrate a UP from the PASTeUR package into a vendor's native scan. Simulation experiments, safety validations, field measurements, and imaging experiments in phantom and in vivo were conducted to verify the interpreter's and UP's functionality.

resultsThe interpreter executed Pulseq sequences on a Philips 7T system, accurately reproducing gradient waveforms and dynamic pTx sequences. The real-time safety systems operated correctly. Phantom and in vivo scans demonstrated comparable image quality to native sequences, validating the effectiveness of the interpreter and the successful cross-vendor use of universal pulses.

conclusionThe successful cross-vendor application of a universal pulse through pTx-Pulseq in a hybrid sequence demonstrates how advanced MRI techniques can be made accessible. This not only highlights the flexibility and extensibility of Pulseq but also sets the stage for rapid clinical translation of innovative imaging techniques.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingAlgorithmsComputer SimulationHumansPhantoms, ImagingReproducibility of Resultshybrid sequenceopen sourceparallel transmit (pTx)Pulsequniversal pulse (UP)vendor‐neutral

Identifiers

PMID40605822
PMCPMC12393203

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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.