Latest News
The Society of Nuclear Medicine and Molecular Imaging honors four Yale researchers with awards at the 2025 Annual Meeting
- June 24, 2025
The Center for Brain & Mind Health Pilot Program is the center's annual keystone initiative, embodying its core value of interdisciplinary collaboration as a driver of clinically relevant neuroscience.
- June 16, 2025
The Yale Biomedical Imaging Institute will drive transformative advancements in both basic science and clinical translation.
- June 02, 2025
Tianyi Zeng, associate research scientist, has received a travel award from the Society of Nuclear Medicine and Molecular Imaging (SNMMI) for his contributions to the field of biomedical imaging.
- March 05, 2025
The CMITT article "PET Mapping of Receptor Occupancy Using Joint Direct Parametric Reconstruction" was selected as a featured article in the March edition of IEEE Transactions on Biomedical Engineering.
- March 03, 2025
Postgraduate Fellow Zhen Li received a Robert F. Wagner All-Conference Best Student Paper Finalist Award at SPIE Medical Imaging 2025. She presented her paper entitled “Contrast-enhanced image-guided learning for nasopharyngeal carcinoma diagnosis using non-contrast MRI” in the computer-aided Diagnosis track on the 17th February.
- February 03, 2025Source: Magnetic Resonance in Imaging
The CMITT article "Free-breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model" was selected as an Editor's Pick in Magnetic Resonance in Imaging. We developed a free-breathing 3D extracellular volume (ECV) mapping method for the entire heart at 3T. Using ECG-gated inversion recovery and a linear tangent-space alignment model, we aligned high-frame-rate dynamic images from sparsely sampled (k,t)-space data. Joint T1 and B1 mapping before and after contrast injection, with a linearly varying T1 model post-contrast, allowed for the creation of ECV maps by aligning pre- and post-contrast T1 maps. Tested on six healthy volunteers at 3T, the method produced 3D ECV maps with 1.9×1.9×4.5 mm³ resolution and a 308×308×144 mm³ FOV, with scan times around 10 minutes. The ECV maps corresponded well with the 2D MOLLI method. This approach enables practical free-breathing 3D ECV mapping of the whole heart.
- October 15, 2024
The 2024 IEEE NSS/MIC/RTSD Conference will showcase groundbreaking work in nuclear science and medical imaging, with the CMITT playing a prominent role in two short courses, two posters, and two oral presentations.
- September 30, 2024
CMITT, a National Center for Biomedical Imaging and Bioengineering, has relocated from Massachusetts General Hospital to Yale University while maintaining its leadership team. With a focus on PET/MR imaging, CMITT remains dedicated to groundbreaking research, now poised to thrive within Yale's collaborative academic environment.