We are happy to announce that a new version of SCT (v7.1) has been released! 🎉 Check out our announcement on @INCForg's @neuroquestion forum:

Are you interested in imaging the spinal cord at 7T? Not sure what coil to use? Check out this recent work led by @EvaAlonsoOrtiz and collaborators where we compare different coil designs: https://t.co/Fm7pXVGaaS

Having trouble segmenting the spinal cord on T1w? T2w? MP2RAGE? EPI? PSIR? STIR? FLAIR? Check out this work by @SandBedard @naga_karthik7 and colleagues on the new contrast-agnostic segmentation model (available on @SpinalToolbox) 🚀

📢 We are happy to announce that we will be hosting a free virtual Spinal Cord Toolbox (SCT) Course on December 9-10, 2024. 🎉 Check out our announcement on @INCForg's @neuroquestion forum: https://t.co/JLaksahJW9 Course details can be found here:

Check out our recent work on automatic assessment of #SpinalCordInjury #MRI scans, now available in @SpinalToolbox! 🚀

Want to know more about B0 Shimming at ultra-high field 🧲? Alexandre D'Astous and I will present latest developments on advanced shimming methods using @ShimmingToolbox 🚀

Interested in 7T imaging of the spinal cord? Check out this article by Daniel Papp and collaborators at @neuropoly @TheNeuro_MNI. We compared various RF shimming methods using @ShimmingToolbox. Reproducible preprint available in @NeuroLibre 🚀 https://t.co/06jENYJRAi

We are happy to announce that a new version of SCT (v6.4) has been released! 🎉 Check out our announcement on @INCForg's @neuroquestion forum:

🌎 Huge thanks to all co-authors for an incredible international collaboration. 🙏 Special thanks to my colleagues from the NeuroPoly lab for their feedback and the four (4!) reviewers whose thorough reviews greatly improved our study. Also, thanks to @MSCActions! 🙌 🇪🇺 2/2

🎉 Excited to share our latest study published in Imaging Neuroscience! 👉 We introduce a deep learning-based method for the automatic segmentation of spinal nerve rootlets from MRI images. ♻️ The method is open-source and available as part of the Spinal Cord Toolbox (SCT)! 1/2

What a fantastic #ISMRM2024 conference! 🎉 Thanks to my colleagues from @PolyNeuro for their hard work on our projects and @MSCActions for funding my research! 🙌🔬

Having trouble segmenting the spinal cord on EPI data? PSIR? STIR? MP2RAGE? Compressed cord? Check out the work by @SandBedard @naga_karthik7 and colleagues from @PolyNeuro on the new contrast-agnostic segmentation model, now available on @SpinalToolbox v6.3 🚀

👉 Stop by and check out our latest work at this year's ISMRM! #ISMRM2024🧲🧠

Interested in reproducible spinal cord quantitative MRI analysis with the Spinal Cord Toolbox? Check out this latest publication 👇 https://t.co/JCg94sz9xR

👉 Check out the latest SCT version featuring several new segmentation models (contrast-agnostic softseg, SCI lesion/SC seg, spinal nerve rootlet seg, mouse GM/WM seg) and many more!

Check out our latest paper on spinal cord normative database of 203 adult subjects! The database is part of the @SpinalToolbox v6.0 and higher, and you can use it to compare cross-sectional area and other morphometrics computed in your study! @SandBedard @jcohenadad

Check out our latest preprint on automatic lesion segmentation in spinal cord injury patients! SCIseg works well on MRI scans across different lesion etiologies, sites, scanner manufacturers, and heterogeneous image resolutions. Joint work with @ValosekJan and @jcohenadad !

You computed #spinalcord cross-sectional area from #MRI using @SpinalToolbox. What next? You can now compare this value with a database of 203 adult subjects. Check out this new interactive @NeuroLibre preprint by @ValosekJan @SandBedard :👇 https://t.co/l7vLY5tK79

We are happy to announce that a new version of SCT (v6.1) has been released! 🎉 Check out our announcement on @INCForg's @neuroquestion forum:

6/6🌟To learn more about what @jcohenadad's group is up to, stay tuned: 👉 July 15th 2023: release of the open-source Spinal Cord Toolbox (SCT) v6.0 ( https://t.co/LcynYsRTjy) 👉 November 20th-21st 2023: free SCT course will be taught online!