Explore more about: PET imaging

Researchers have demonstrated the first experimental cross-sectional medical image that doesn't require tomography, a mathematical process used to reconstruct images in CT and PET scans. The work could lead to cheaper, easier and more accurate medical imaging.

NIBIB-funded engineers are using deep learning to differentiate tumor more accurately from normal tissue in positron emission tomography (PET) images.

Researchers have created a new PET imaging agent that detects signs of inflammation. Such a tracer could aid diagnosis and study of diseases ranging from cardiovascular disease to cancer to COVID-19.

NIBIB mourns the passing of molecular imaging pioneer and NIBIB Advisory Council member, Sanjiv “Sam” Gambhir, M.D., Ph.D.

Experts believe that tuberculosis, or TB, has been a scourge for humans for some 15,000 years, with the first medical documentation of the disease coming out of India around 1000 B.C.E. Today, the World Health Organization reports that TB is still the leading cause of death worldwide from a single infectious agent, responsible for some 1.5 million fatalities annually.

A novel method produces a new class of radioactive tracers that are used for medical imaging. The method allows them to attach radioactive atoms to compounds that have previously been difficult or even impossible to label.  The advance will make it easier to track medications in the body and identify tumors and other diseases.

The researchers genetically engineered CAR T cells with molecular tags, which they were able to monitor in an animal model using position emission tomography (PET) imaging.

NIBIB-funded researchers use passive cavitation imaging, an ultrasound imaging technique, to create an image and estimate the amount of drug that crossed the blood-brain barrier to reach a specific location in the brain.