3D imaging is an exciting niche in the field of medical imaging. One obstacle to further exploration, though, is the hefty upfront costs to acquire the necessary hardware and software. Researchers have developed a promising 3D imaging system that costs a few hundred dollars—a mere fraction of the cost of many CT-based systems.

German scientists have developed a way to swap out contrast agents for a simple sugar solution to enhance brain cancer visualization on MRI.

A high proportion of prostate cancer patients have their care pathways changed after being scanned with PET/CT enhanced by the injected radiotracer gallium-68 (Ga-68) and prostate-specific membrane antigen (PSMA).

By combining virtual bone-strength testing with standard bone mineral density testing—the former using quantitative CT, the latter with dual-energy x-ray absorptiometry (DXA)—clinicians can help postmenopausal women ward off a substantial number of painful fragility fractures.

CT colonography aided by computer detection has proven sharp at finding colorectal polyps 6 mm or larger—and at earning reimbursement—in routine clinical practice, where it also had an acceptable false-positive rate, according to a study running in the June edition of the American Journal of Roentgenology.

“WannaCry,” the most recent ransomware attack in the United Kingdom, was yet another reminder of how dependent modern healthcare is on networked technology. The National Health Service experienced ambulances piling up outside hospitals, appointments were canceled, surgeries were delayed and there was the frightening possibility that patient records could be deleted unless a ransom was paid.

Teenagers who came into the world as “preemies” have altered brain connectivity on MRI, as well as differences in cognitive function, compared with their peers who spent the full nine months in utero.

Researchers at Facebook—you read those three words right—have developed a way to feed image data to AI visual-recognition models at a much faster pace than ever before, and with no compromise on precision. Radiology AI developers are sure to watch and learn.