Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the living human brain. Clear laminar and vascular features. May help us better understand the nature of fMRI signals. https://t.co/ndyCtLntDh https://t.co/qRcFJuJ9Rl
Mesoscopic in vivo human T dataset acquired using quantitative MRI at 7 Tesla.
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Nov 2022 – Jul 2025Where it's discussed
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X / Twitter24 posts
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YouTube4 videos
AI synopsis
What people are saying
Discussions highlight the usefulness of the dataset for visualizing fine brain features and improving fMRI signals, with examples like segmentation of the LGN and blood motion artifacts. The tone emphasizes technical interest and potential scientific impact, reflecting curiosity and recognition of the dataset's relevance in neuroimaging.
Most discussions recognize the significance of the dataset and methods, with some referencing prior work or ongoing research interest.
Posts show high curiosity about the detailed imaging and potential applications, especially in studying brain structures.
Participants actively discuss segmentation techniques, artifact handling, and implications for fMRI research, indicating deep engagement.
The conversations suggest that the dataset could advance neuroimaging understanding, though some see it as an incremental step rather than revolutionary.
Abstract in brief
- The text discusses a new dataset of detailed in vivo human brain measurements using high-resolution (0.35mm) MRI at 7 Tesla, focusing on the T parameter which is important for understanding brain structure.
- This dataset allows researchers to visualize fine brain features like cortical layers and blood vessels, and shows consistent depth-related T values in specific brain regions like the visual and auditory cortex.
- The data is openly available online, and it can be useful for studying brain anatomy and improving the interpretation of T-weighted fMRI signals.]
Top posts
Most liked on X and BlueskyA short tutorial on getting started with segmentation using ITKSNAP: https://t.co/6ZFWWB5vrq Particularly, I am segmenting the LGN (lateral geniculate nucleus) of a living human brain using our publicly available 0.35 mm isotropic 7 T dataset.
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
All mentions
Introduction to Brain Segmentation Using ITKSNAP and 7T MRI Data
This tutorial covers segmenting the lateral geniculate nucleus using high-resolution 7 Tesla MRI data, highlighting detailed in vivo human brain measurements and visualization of fine brain features. The dataset is…
Mesoscopic Human Brain Imaging at 0.35 mm MRI Resolution
This seminar discusses a new dataset of detailed in vivo human brain measurements using high-resolution MRI at 7 Tesla, focusing on the T parameter to visualize cortical layers and blood vessels, enhancing understanding…
Segmentation of Heschl's Gyrus Using High-Resolution 7 Tesla MRI Data
This video demonstrates the segmentation of Heschl's Gyrus, the auditory cortex region, in human brains using 0.35 mm T2* weighted MRI data acquired at 7 Tesla, highlighting detailed brain structure analysis techniques.
Using Python and FSLROI to Crop NIfTI Brain Images efficiently
This video demonstrates how to crop NIfTI brain images using Python and the FSLROI program, a method essential for precise analysis of high-resolution MRI datasets, like the 7 Tesla T parameter dataset.
More on the blood motion artifact, and capturing it on 7 T MRI, see my 2022 paper: https://t.co/QDjGDFefsO I call this artifact shortly "blood motion artifact", but in the past it was called "spatial misregistration of the vascular flow". Larson 1990 https://t.co/OngX2M7FwY
RT @ofgulban: A short tutorial on getting started with segmentation using ITKSNAP: https://t.co/6ZFWWB5vrq Particularly, I am segmenting t…
RT @ofgulban: A short tutorial on getting started with segmentation using ITKSNAP: https://t.co/6ZFWWB5vrq Particularly, I am segmenting t…
RT @ofgulban: A short tutorial on getting started with segmentation using ITKSNAP: https://t.co/6ZFWWB5vrq Particularly, I am segmenting t…
RT @ofgulban: A short tutorial on getting started with segmentation using ITKSNAP: https://t.co/6ZFWWB5vrq Particularly, I am segmenting t…
RT @ofgulban: A short tutorial on getting started with segmentation using ITKSNAP: https://t.co/6ZFWWB5vrq Particularly, I am segmenting t…
A short tutorial on getting started with segmentation using ITKSNAP: https://t.co/6ZFWWB5vrq Particularly, I am segmenting the LGN (lateral geniculate nucleus) of a living human brain using our publicly available 0.35 mm isotropic 7 T dataset.
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
RT @cvnlab: Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the li…
Latest lab work in @NeuroImage_EiC by @ofgulban. We release high-quality mesoscopic (0.35-mm) anatomical measurements in the living human brain. Clear laminar and vascular features. May help us better understand the nature of fMRI signals. https://t.co/ndyCtLntDh https://t.co/qRcFJuJ9Rl