In the NIST lab we develop computer vision image processing algorithms for analysis of medical images that are focused on registration and segmentation. These techniques are applied to different research projects that include:
  • image guided neurosurgery
  • disease diagnosis, and
  • prognosis and quantification for diseases such as multiple sclerosis, epilepsy, schizophrenia and degenerative diseases such as Alzheimer’s dementia.

A great NeuroImage:Clinical @eic_nic paper from @anitamanera, @DadarMahsa & @sducharme66 that uses a simple ratio of anterior:posterior lateral ventricle volume to differentiate subtypes of FTD https://doi.org/10.1016/j.nicl.2022.102947 with open software at http://nist.mni.mcgill.ca/ventra/. https://twitter.com/anitamanera/status/1489951926611546114

Ana Manera, MD 🇦🇷🇨🇦@anitamanera

How much can ventricles say? How much can ventricular features aid to bvFTD diagnosis.

Our new paper is finally out in @eic_nic NI: Clinical.

Spoiler alert: Ventricular features, might be reliable and easy-to-implement markers for bvFTD diagnosis.

Curious about subjective cognitive decline (SCD)? First paper from @CassMorrison0 as postdoc in @NistLab at @TheNeuro_MNI, along with @DadarMahsa, @ShafieeNeda and @sylv_villeneuve, shows that definitions matter. https://doi.org/10.1016/j.nicl.2021.102923

Interested in MRI biomarkers of progression in MS? the dynamic duo of @DadarMahsa and @J_Maranzano have shown that DAWM ↓ & FWML ↑ with disease duration, and correlate w/GM atrophy. FWML↑ over time (but not DAWM↓) is associated with 12 and 24 week sustained progression! https://twitter.com/DadarMahsa/status/1473030662231896065

Mahsa Dadar@DadarMahsa

Diffusely abnormal white matter converts to T2 lesion volume in the absence of MRI-detectable acute inflammation https://academic.oup.com/brain/advance-article/doi/10.1093/brain/awab448/6470368#.YcDp2vI3fZ0.twitter @dlouiscollins @J_Maranzano

Great paper from @DadarMahsa @anitamanera @sducharme66. MCI, AD & FTD have more WMH! In MCI/AD, WMHs correlate with insular/parieto-occipital GM atrophy. In FTD, WMHs correlate with frontal & BG atrophy. WMHs contribute to more severe cog decline in AD & FTD. @TheNeuro_MNI https://twitter.com/DadarMahsa/status/1467134195130679304

Mahsa Dadar@DadarMahsa

White Matter Hyperintensities Are Associated with Grey Matter Atrophy … https://www.sciencedirect.com/science/article/pii/S0197458021003456

Interested in how WMH interacts with different neurodegenerative diseases? Have a look at this great paper by @DadarMahsa, @anitamanera and @sducharme66 that shows that WMHs contribute to greater cognitive deficits in AD & FTD compared to MCI and PD. @NistLab @TheNeuro_MNI https://twitter.com/DadarMahsa/status/1467134195130679304

Mahsa Dadar@DadarMahsa

White Matter Hyperintensities Are Associated with Grey Matter Atrophy … https://www.sciencedirect.com/science/article/pii/S0197458021003456

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