2026-03-02 フラウンホーファー研究機構
© Fraunhofer MEVIS
Conceptual representation of the vendor-neutral MR sequence development platform gammaSTAR
＜関連情報＞
- https://www.fraunhofer.de/en/press/research-news/2026/march-2026/accelerate-and-optimize-mri-examinations.html
- https://onlinelibrary.wiley.com/doi/10.1002/mrm.30573
gammaSTAR: 動的かつリアルタイム対応のMRシーケンス開発のためのフレームワーク gammaSTAR: A framework for the development of dynamic, real-time capable MR sequences
Simon Konstandin, Matthias Günther, Daniel C. Hoinkiss
Magnetic Resonance in Medicine Published: 20 May 2025
DOI:https://doi.org/10.1002/mrm.30573
Abstract
Purpose
To present the real-time capability and advanced MR sequence library of the MR sequence development framework gammaSTAR.
Methods
The 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.
Results
The 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)10−3 mm2/s in white matter. Results of pseudo-continuous arterial spin labeling gradient and spin-echo (pCASL GRASE) and 3D radial UTE imaging demonstrate the ability to run complex sequences without long sequence preparation times. Prospective motion correction is possible by means of real-time feedback and shows much fewer movement artifacts with mean voxel displacement of 1.63 mm (uncorrected) versus 0.37 mm (corrected). All images were reconstructed using the vendor’s reconstruction pipeline.
Conclusion
The platform gammaSTAR allows for MR sequence development with real-time feedback capability demonstrated by a large number of MR sequences and applications.
