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Diffusion Imaging in Python🚨 Flipped b-vectors in your diffusion MRI data? The Fiber Coherence Index (FCI) by Schilling et al. is here to help!🔎 Detect and correct B-table orientation errors with ease. 📄 Read the paper(<a href="https://doi.org/10.1016/j.mri.2019.01.018" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.1016/j.mri.2019.01.018</a>) 🔗 Already integrated into DIPY, CLI feature coming soon!Get involved and explore the implementation: 👉 GitHub PR(<a href="https://github.com/dipy/dipy/pull/3447" rel="nofollow noopener" translate="no" target="_blank">https://github.com/dipy/dipy/pull/3447</a>)<a href="https://mastodon.social/tags/DiffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#DiffusionMRI</a> <a href="https://mastodon.social/tags/Neuroimaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#Neuroimaging</a> <a href="https://mastodon.social/tags/DIPY" class="mention hashtag" rel="nofollow noopener" target="_blank">#DIPY</a> <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#opensource</a>

Diffusion Imaging in PythonA heartfelt thank you to everyone who made <a href="https://mastodon.social/tags/DIPYWorkshop2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#DIPYWorkshop2025</a> so meaningful. To the speakers and attendees—your insights, curiosity, and energy made it truly inspiring. Grateful to be part of such a passionate, collaborative community. Until next time! 🧠📊✨<a href="https://mastodon.social/tags/DIPY" class="mention hashtag" rel="nofollow noopener" target="_blank">#DIPY</a> <a href="https://mastodon.social/tags/DiffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#DiffusionMRI</a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MachineLearning</a> <a href="https://mastodon.social/tags/medicalimaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#medicalimaging</a> <a href="https://mastodon.social/tags/MRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#MRI</a> <a href="https://mastodon.social/tags/Medicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#Medicine</a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepLearning</a> <a href="https://mastodon.social/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#Science</a> <a href="https://mastodon.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#Neuroscience</a>

Diffusion Imaging in Python🚀 2 DAYS TO GO! 🚀 Join us at DIPY Workshop 2025 – a masterclass in structural & diffusion imaging! 🧠✨ 📅 March 17-21, 2025 📍 Online (Zoom & Discord) 🔬 Hands-on tutorials, expert talks, and networking 💡 Register & learn more: 👉 <a href="https://workshop.dipy.org" rel="nofollow noopener" translate="no" target="_blank">https://workshop.dipy.org</a> <a href="https://mastodon.social/tags/DIPYWorkshop" class="mention hashtag" rel="nofollow noopener" target="_blank">#DIPYWorkshop</a> <a href="https://mastodon.social/tags/Neuroimaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#Neuroimaging</a> <a href="https://mastodon.social/tags/DiffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#DiffusionMRI</a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://mastodon.social/tags/dmri" class="mention hashtag" rel="nofollow noopener" target="_blank">#dmri</a> <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#opensource</a>

Diffusion Imaging in Python🚨 Exciting news! Maxime Descoteaux (@maxdescoteaux) will overview the Handbook of Diffusion MR Tractography at DIPY Workshop 2025! 📚🔬With 33 chapters, it’s a great companion to DIPY, covering: 🧠 Brain & pathways 🌀 Diffusion MRI: Fundamentals & techniques 🛤 Fiber tractography: Deterministic, probabilistic & geodesic 🔍 Tractography validation & applications in neurodevelopment, aging & plasticityDon’t miss it! <a href="https://mastodon.social/tags/DIPY2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#DIPY2025</a> <a href="https://mastodon.social/tags/DiffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#DiffusionMRI</a> <a href="https://mastodon.social/tags/BrainConnectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#BrainConnectomics</a> <a href="https://mastodon.social/tags/DIPYWorkshop25" class="mention hashtag" rel="nofollow noopener" target="_blank">#DIPYWorkshop25</a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a>

Diffusion Imaging in Python🚀 DIPY 1.11 brings 3 powerful new volume extraction methods:dipy_extract_b0: Quickly get b0 images & averages. dipy_extract_shell: Effortlessly select b-value ranges. dipy_extract_volume: Easily pull specific 3D volumes from your 4D data.Explore these and more at the DIPY Workshop 2025! 🧠✨<a href="https://mastodon.social/tags/DIPY" class="mention hashtag" rel="nofollow noopener" target="_blank">#DIPY</a> <a href="https://mastodon.social/tags/Neuroimaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#Neuroimaging</a> <a href="https://mastodon.social/tags/DiffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#DiffusionMRI</a> <a href="https://mastodon.social/tags/DIPYWorkshop25" class="mention hashtag" rel="nofollow noopener" target="_blank">#DIPYWorkshop25</a> <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#opensource</a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://mastodon.social/tags/MedicalImaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#MedicalImaging</a> <a href="https://mastodon.social/tags/dMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#dMRI</a>

Diffusion Imaging in Python🎉 Exciting news! The Dipy team is heading to <a href="https://mastodon.social/tags/ISMRM2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#ISMRM2025</a>! Join us for oral presentations by Jongsung Park and Bramsh Chandio, as they share cutting-edge research. Don't miss it!<a href="https://mastodon.social/tags/MRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#MRI</a> <a href="https://mastodon.social/tags/Neuroimaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#Neuroimaging</a> <a href="https://mastodon.social/tags/DiffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#DiffusionMRI</a> <a href="https://mastodon.social/tags/DIPY" class="mention hashtag" rel="nofollow noopener" target="_blank">#DIPY</a> <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#opensource</a> <a href="https://mastodon.social/tags/medical" class="mention hashtag" rel="nofollow noopener" target="_blank">#medical</a>

Diffusion Imaging in Python🚀 DIPY v1.11.0 – Tractography at Ultra Speed! ⚡ DIPY v1.11.0 is bringing Ultra Fast Tracking – up to 100x faster! 🔥 Supercharge your tractography workflows with unmatched speed & precision! 🌟 Speakers Gabriel Girard & John Kruper will introduce the Ultra Fast Tracking API at DIPY Workshop 2025! 🎤 🔗 Learn more & register: workshop.dipy.org <a href="https://mastodon.social/tags/DIPY" class="mention hashtag" rel="nofollow noopener" target="_blank">#DIPY</a> <a href="https://mastodon.social/tags/DiffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#DiffusionMRI</a> <a href="https://mastodon.social/tags/Tractography" class="mention hashtag" rel="nofollow noopener" target="_blank">#Tractography</a> <a href="https://mastodon.social/tags/Neuroimaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#Neuroimaging</a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#opensource</a> <a href="https://mastodon.social/tags/programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#programming</a> <a href="https://mastodon.social/tags/MRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#MRI</a> <a href="https://mastodon.social/tags/DMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#DMRI</a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a>

Geoffrey AdamsIs it just me, or are <a href="https://mefi.social/tags/MRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#MRI</a> people really bad at keeping the difference between afferent and efferent connections straight? There's a whole lot of papers that seem to just assume that if they do <a href="https://mefi.social/tags/DiffusionTensorImaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#DiffusionTensorImaging</a>, and pick a seed region, that all of the streamlines they get correspond to efferents from that site. And if they cite another paper as evidence, it's often another <a href="https://mefi.social/tags/DiffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#DiffusionMRI</a> paper that just asserts the same thing without obvious reference to anatomical ground truth.If you don't reference an actual <a href="https://mefi.social/tags/Neuroanatomy" class="mention hashtag" rel="nofollow noopener" target="_blank">#Neuroanatomy</a> paper that worked out which direction(s) your fibers are projecting, you can't claim anything about whether your seed projects to, from, or merely passes through any other ROI along your streamlines! I think a lot of times the answer is indeed known, but cite some real anatomy papers so your readers can tell. This problem isn't universal, but it does seem weirdly common.

Hari TulsidasScientists have found a new way to map the insular cortex, a part of the human brain that is involved in mind-body interactions. They used a technique called diffusion MRI to trace the connections between different regions of the insular cortex and other brain areas. This could help us understand how the brain integrates sensory, emotional, and cognitive information.<a href="https://masto.ai/tags/insularcortex" class="mention hashtag" rel="nofollow noopener" target="_blank">#insularcortex</a> <a href="https://masto.ai/tags/diffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#diffusionMRI</a> <a href="https://masto.ai/tags/mindbody" class="mention hashtag" rel="nofollow noopener" target="_blank">#mindbody</a><a href="https://www.reuters.com/lifestyle/science/scientists-identify-mind-body-nexus-human-brain-2023-04-19/" rel="nofollow noopener" target="_blank">https://www.reuters.com/lifestyle/science/scientists-identify-mind-body-nexus-human-brain-2023-04-19/</a>

Thomas SchultzMaking smart use of PDEs beats plain GZIP for lossless compression of <a href="https://bonn.social/tags/DiffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#DiffusionMRI</a> data by more than 30%. Work by Ikram Jumakulyyev, recently published in JMIV. OA paper: <a href="https://link.springer.com/article/10.1007/s10851-023-01144-z" rel="nofollow noopener" target="_blank">https://link.springer.com/article/10.1007/s10851-023-01144-z</a>

Thomas SchultzMany have used bootstrapping for probabilistic tractography, but have you ever considered computing a bootstrap consensus to reduce uncertainty in <a href="https://bonn.social/tags/diffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#diffusionMRI</a>? Our OA journal paper on this is now out <a href="http://doi.org/10.1111/cgf.14724" rel="nofollow noopener" target="_blank">http://doi.org/10.1111/cgf.14724</a> extending last year's VCBM paper on fiber tracking with model averaging.

Tui22FYI scientists esp <a href="https://med-mastodon.com/tags/radiologists" class="mention hashtag" rel="nofollow noopener" target="_blank">#radiologists</a> and those involved in <a href="https://med-mastodon.com/tags/neurosciences" class="mention hashtag" rel="nofollow noopener" target="_blank">#neurosciences</a> Clinica: An Open-Source Software Platform for Reproducible Clinical <a href="https://med-mastodon.com/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#Neuroscience</a> Studies<a href="https://www.frontiersin.org/articles/10.3389/fninf.2021.689675/full" rel="nofollow noopener" target="_blank">https://www.frontiersin.org/articles/10.3389/fninf.2021.689675/full</a>Clinica is a set of automatic pipelines for processing and analysis of multimodal <a href="https://med-mastodon.com/tags/neuroimaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#neuroimaging</a> data (T1-weighted <a href="https://med-mastodon.com/tags/MRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#MRI</a>, <a href="https://med-mastodon.com/tags/DiffusionMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#DiffusionMRI</a>, and <a href="https://med-mastodon.com/tags/PET" class="mention hashtag" rel="nofollow noopener" target="_blank">#PET</a> data) & tools for statistics, <a href="https://med-mastodon.com/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MachineLearning</a>, and <a href="https://med-mastodon.com/tags/DeepLearining" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepLearining</a> It relies on the <a href="https://med-mastodon.com/tags/BrainImaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#BrainImaging</a> data structure (BIDS)

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