This article by a colleague gave me strong Oliver Sacks vibes as he describes his life experiences with diagnosing and living with his own DLB. It's beautifully written, full of fantastic stories and magical realism. Highly recommended.

Our new version 0.3 of mri_reface, now with support for replacing faces in PET/CT, multi-frame images, multiple (simultaneous) input images, and DICOM output, is now released! nitrc.org/projects/mri_r…

At #AAIC2022? Do you manage data sharing for a brain imaging data set? Come by my poster 197 to learn about de-facing MRI and PET and CT scans to prevent potential re-identification of participants with face recognition

Careful methodological work doesn't always get the credit it deserves, by Shaney Flores at Mallinckrodt Institute of Radiology just published a really nice piece of work looking at tau PET binding in the skull and whether it biases estimates of AD pathology jnm.snmjournals.org/content/early/…

The time has finally arrived, HumanAmyloidImaging is back to gather the world's leaders and super fans of #AlzheimersDisease imaging & fluid biomarker research ✔️October 10 abstract opens ✔️ October 28 abstracts close ✔️ January 11-13 meeting dates in Miami hai.worldeventsforum.com

My focus is mainly on brain images, but don't forget about re-identification risks from speech audio samples in research datasets as well! See this new thorough analysis by our Neurology Artificial Intelligence Program colleagues.

In a new study by Robel Gebre and Prashanthi Vemuri, we compared 6 methods to harmonize FreeSurfer measurements across 2 different-vendor scanners using a direct cross-over dataset. All performed badly. It's disappointing, but a very important result to share! doi.org/10.1016/j.neur…

Tip for people registering for AAIC: If trying to pay via credit card gives you an error "adding your card", select "Paypal" as your payment method, and then use your credit card inside the Paypal popup instead. Paypal->Card worked, but Card (Via Paypal) did not.

We have released mri_reface version 0.3.2, with several minor improvements for DICOM, 2D FLAIR, and larger slices. By popular demand, starting with this release we also include a complete Docker image to standardize and simplify installing and running: nitrc.org/projects/mri_r…

Our latest paper is now in NeuroImage: sciencedirect.com/science/articl… We look at face recognition and de-facing for many common research brain MRI sequences. De-facing is not needed for current-gen fMRI, dMRI, and ASL, but mri_reface is recommended for all other tested sequences.

New in Editorial team - Neuroimage Clinical: We compared correlations between AD imaging biomarkers and cognition, using unmodified images vs. images de-faced with mri_reface. All of the de-faced analyses were statistically identical both qualitatively and in statistical power. authors.elsevier.com/sd/article/S22…

MCSA have now uploaded 3588 (de-faced) MRIs and longitudinal clinical and demographic data from over 22,000 participants for public sharing on GAAIN.org ! This is only the beginning of our huge data sharing initiatives. Check it out! gaaindata.org/partner/MCSA