ArticleMagnetic resonance in medicine2025
gammaSTAR: A framework for the development of dynamic, real-time capable MR sequences.
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 9 papers.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed.
- View Order With Arbitrary Center Echoes.Magnetic resonance in medicine · 2026Article
- MRpro: Open Framework for Model-Based, Learned, and Quantitative MR Imaging-Application to Low-Field MRI.NMR in biomedicine · 2026Article
- Article
- Autonomy for MRI Field Cameras: Synchronization, Self-Calibration, and Sequence Detection.Magnetic resonance in medicine · 2026Article
- Harmonization in magnetic resonance imaging: A survey of acquisition, image-level, and feature-level methods.Medical image analysis · 2026Review
- MRSeqStudio: MRI Sequence Design and Simulation as a Service in a Free and Open-Source Web Platform.Journal of medical systems · 2026Article
- A vendor-neutral functional MRI acquisition protocol for multi-site studies.Aperture neuro · 2026Article
- gammaSTAR: A framework for the development of dynamic, real-time capable MR sequences.Magnetic resonance in medicine · 2025Article
- A vendor-neutral functional MRI acquisition protocol for multi-site studies.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
purposeTo present the real-time capability and advanced MR sequence library of the MR sequence development framework gammaSTAR.
methodsThe presented platform consists of four different components: (1) a frontend for sequence development combined with a Python backend for sequence generation; (2) a Lua backend for the creation of hardware instructions; (3) a vendor-specific driver for translation of these instructions into scanner-specific objects; and (4) an interface for real-time feedback capability. In vivo measurements of the same volunteer were performed for comparison of imaging and spectroscopy sequences implemented in this framework with those of one main vendor (Siemens Healthineers) at magnetic field strengths of 3 T and 1.5 T. Prospective motion correction was integrated into a spin echo EPI sequence to demonstrate the real-time feedback capability.
resultsThe imaging and spectroscopy results of the gammaSTAR sequences show very similar image contrasts and qualities compared to those by the vendor. ADC maps were calculated and show values of (0.80 ± 0.14)10
conclusionThe platform gammaSTAR allows for MR sequence development with real-time feedback capability demonstrated by a large number of MR sequences and applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.