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✨ Day 1 of #MRITogether2025 done!

Great discussions on open MRI science & responsible AI.

Key message: 🚀 Openness needs both innovation and collective responsibility.

See you tomorrow for Day 2!

🔗 mritogether.esmrmb.org/25m/

#OpenScience #MRIresearch

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🚨 Breaking: The #ESMRMB2025 Book of Abstracts is out!

🔗 link.springer.com/article/10.1...

Get a first look at the science coming to the 41st Annual Meeting (8–11 Oct 2025):
✨ MR physics
✨ Biomedical advances
✨ Clinical translation

Start planning your #MRIresearch journey today!

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Postmortem Validation of Quantitative MRI for White Matter Hyperintensities in Alzheimer's Disease
Bieniek, K. F., Bouhrara, M. et al.
Paper
Details
#AlzheimersDisease #MRIResearch #WhiteMatterHyperintensities

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Open Sequence: An Introduction by Thomas Kluge and Christoph Forman (Siemens Healthineers, Erlangen, Germany)

Open innovation and reproducible research have become increasingly important in the research community.
In MRI image reconstruction, the introduction of the ISMRMRD format marked a major step toward vendor-independent standards for storing and transferring MRI raw data. 
Reconstruction algorithms supporting this format can be distributed, enabling reproduction of results and application to new data. This can be performed offline for research purposes. On MAGNETOM scanners from Siemens Healthineers, these algorithms can be integrated into the clinical workflow at the scanner using containers and the Open Recon interface.

However, in the area of MR sequence development, many existing frameworks, while claiming vendor-independence, still rely on vendor-specific adapter modules. These are deeply embedded in the vendor’s scanner control software and must be adapted and re-released for each software update – creating significant work for both developers and users. 

To overcome these limitations and to fully support reproducible research, a new software-version- and programming-language-independent interface for data acquisition on MAGNETOM scanners was introduced at #ISMRM25. It will be released with the Open Sequence product on MAGNETOM scanners and will provide all necessary interfaces to develop an application for MR data acquisition.

The Open Sequence interface enables sequence development independent of the software version of the MR scanner. A wide range of development and deployment opportunities are enabled. Using established sequence development environments like gammaSTAR and Pulseq with the Open Sequence interface further supports open innovation and reproducible research.
Future versions will focus on enabling real-time MR applications and simplifying MR sequence development.

Open Sequence: An Introduction by Thomas Kluge and Christoph Forman (Siemens Healthineers, Erlangen, Germany) Open innovation and reproducible research have become increasingly important in the research community. In MRI image reconstruction, the introduction of the ISMRMRD format marked a major step toward vendor-independent standards for storing and transferring MRI raw data. Reconstruction algorithms supporting this format can be distributed, enabling reproduction of results and application to new data. This can be performed offline for research purposes. On MAGNETOM scanners from Siemens Healthineers, these algorithms can be integrated into the clinical workflow at the scanner using containers and the Open Recon interface. However, in the area of MR sequence development, many existing frameworks, while claiming vendor-independence, still rely on vendor-specific adapter modules. These are deeply embedded in the vendor’s scanner control software and must be adapted and re-released for each software update – creating significant work for both developers and users. To overcome these limitations and to fully support reproducible research, a new software-version- and programming-language-independent interface for data acquisition on MAGNETOM scanners was introduced at #ISMRM25. It will be released with the Open Sequence product on MAGNETOM scanners and will provide all necessary interfaces to develop an application for MR data acquisition. The Open Sequence interface enables sequence development independent of the software version of the MR scanner. A wide range of development and deployment opportunities are enabled. Using established sequence development environments like gammaSTAR and Pulseq with the Open Sequence interface further supports open innovation and reproducible research. Future versions will focus on enabling real-time MR applications and simplifying MR sequence development.

Introducing Open Sequence on MAGNETOM scanners — a vendor-independent, software-version-agnostic interface for MR sequence development. Debuted at #ISMRM25.

marketing.webassets.siemens-healthineers.com/2336a73867df...

#OpenScience #MRIresearch #OpenSequence #MRI @mritobi.bsky.social

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Aloha from WSIC 🌺

We're excited to share that our PhD students, Remy Chiaffarelli and @kimiasm.bsky.social , will be presenting their work at ISMRM 2025 in beautiful Honolulu, Hawaii! 🌊🌴

Stay tuned for more research from our lab at ISMRM 2025. 🧲🔍🧬 #ISMRM2025 #WSIC #PhDLife #MRIresearch

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🌟 BC Children's Research MRI Introductions: 🌟
As a leader in pediatric brain 🧠 and lung 🫁 imaging, we’re advancing science with a child-friendly 👶 approach and cutting-edge 3T MRI 🧲 technology. Stay tuned for updates on our groundbreaking research 🔎 and exciting developments! ✨ #MRIResearch #mrisky

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Hidden belly fat can predict Alzheimer’s 20 years before symptoms appear: Study - Yes Punjab News US researchers find a link between visceral fat and abnormal brain proteins, key indicators of Alzheimer's disease, predicting dementia risk up to 20 years early.

Hidden belly fat can predict Alzheimer’s 20 years before symptoms appear: Study yespunjab.com?p=68430

#VisceralFat #AlzheimersDisease #BrainHealth #Obesity #AlzheimerRisk #VisceralFatLink #MRIResearch #AmyloidTau #RadiologicalSociety #ObesityStudy #CognitiveHealth #LifestyleModification

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