Multiangle data acquisition and AI enhanced mapping to multiangle data both enhance image resolution in cardiac CZT SPECT perfusion imaging. Promising for improved diagnostic accuracy! Yale School of Medicine Yale Cardiology #cvnuc Read now👉bit.ly/4gJxKNZ

🚨 New paper alert! 🧠 Head motion during brain PET scans causes artifacts & quantitative errors but hardware tracking isn’t always feasible! 🔥 Discover DL-HMC++: a deep learning model that predicts motion directly from PET raw data! 🔗  ieeexplore.ieee.org/document/11201…

First official Bini lab preprint is live! medrxiv.org/content/10.110… Many thanks to Faraz Nejati,MD Faranak Ebrahimian,MD Rui Ren and Yuan Huang for their hard work on this study! Yale Biomedical Imaging Institute

Dr. Jason Johnson and collaborators developed the world’s first DL model specifically designed to segment ultra-high resolution brain MRI. The new GA-MS-#UNet++ model uses advanced attention mechanisms to unlock the potential to detect subtle brain changes mdpi.com/2306-5354/12/1…

Carotid artery image-derived blood time–activity curve (CA ID-BTAC) extraction with minimal bias is feasible with ultra-high-resolution brain-dedicated PET scanners. ow.ly/wsmG50Xc7kp #NuclearMedicine #MolecularImaging #PETscan Yale School of Medicine Tommaso Volpi

YBII members present a method in Nature Neuroscience to remove task-like signals from resting-state fMRI, boosting individual differentiation and fingerprinting accuracy. Their work reveals overlooked signals beyond dominant co-activation patterns. nature.com/articles/s4159…

Resting-state FC has long been a source of debate. Recent evidence suggests that task-like patterns dominate its signal. To study less dominant components, we introduced a caricaturing method to project the data to a subspace orthogonal to these patterns. rdcu.be/eN1gJ

Like a caricature artist does with facial features, Yale Department of Radiology and Biomedical Imaging’s Dustin Scheinost, MD, and colleagues are emphasizing distinctive features of individuals’ brain activity to better predict their behavior: medicine.yale.edu/news-article/c… Yale Department of Radiology & Biomedical Imaging

The 3rd annual Nonlinear Parameter Parley and Pub Crawl, held at Seoul National University Hospital on May 30, brought together PET kinetic modeling experts. New topics included time-varying models & spatial drug occupancy #NLPPPC #PETImaging #BrainPET2025 medicine.yale.edu/biomedical-ima…

Congratulations to Prof. Jason Cai for his startup "Synvest Imaging Inc.: Developing novel molecular imaging agents to advance early detection and personalized treatment".

Two of our institute members have been recognized for their highly cited research by the data and analytics company Clarivate: John Krystal, Dustin Scheinost medicine.yale.edu/news-article/t…

Our finance and operations team was recently honored with the Lorimer Award, which celebrates outstanding Yale staff. This team worked tirelessly to provide the financial and operational expertise needed to launch our new Yale Biomedical Imaging Institute. your.yale.edu/working-at-yal…

Director Georges El Fakhri presented on imaging approaches for #NETS Awareness Day 2025. See link for a full video of the Smilow Shares seminar, highlighting the diagnosis, treatment, and awareness of neuroendocrine tumors: m.yale.edu/dctm

Article from Dr. Johnson: "Radiologist-Validated Automatic Lumbar T1-Weighted Spinal MRI Segmentation Tool via an Attention U-Net Algorithm" supports consistent measurements and future quantitative spine applications. mdpi.com/3612296 #mdpidiagnostics via Diagnostics MDPI

We've developed HYDRA-OL phantoms using high-resolution #3Dprinting to enhance #PETimaging system performance assessment. These phantoms offer superior spatial resolution for next-gen brain PET systems and improved gray and white matter contrast. ieeexplore.ieee.org/document/11271…

At our PET Center, an ultra high-performance brain-dedicated scanner called the NeuroEXPLORER (NX) is redefining what is possible in brain PET imaging. Find out more: m.yale.edu/ddgy