Diagnostic Reading #19: Five “Must Read” Articles on Medical Imaging
Reading Time: 3 minutes read
Advances in image quality and imaging techniques make headlines.
This week’s articles in Diagnostic Reading include: new 3D imaging may detect life-threatening brain disorders; Smart Noise Cancellation for improved image quality; new ACR registry to track radiation dose; experts make radiology AI prediction; and 3D mammography helps spot interval cancer.
New imaging technique captures how brain moves – Imaging Technology News
Though magnetic resonance imaging (MRI) pictures are usually meant to be static, researchers reported on a new imaging technique—3D amplified MRI, or 3D aMRI—that captures the brain in motion in real time, in 3D and in striking detail, providing a potential diagnostic toll for detecting difficult-to-spot conditions such as obstructive brain disorders and aneurysms, before they become life threatening. This technique reveals pulsating brain movement that could help researchers to non-invasively visualize brain disorders and inform better treatment strategies for tine deformations or disorders that obstruct the brain or block the flow of brain fluids.
Smart Noise Cancellation: advancing image quality – Everything Rad
Traditional attempts to reduce noise in medical imaging introduce blurring-which degrades image sharpness and might remove important anatomical information. Carestream has achieved a breakthrough by applying AI to significantly reduce image noise without degradation of anatomical sharpness. New Smart Noise Cancellation software produces images that are significantly clearer than with standard processing. Read the clinical reader study and blog.
The American College of Radiology (ACR) is launching a new registry to track and compare radiation dose patterns across healthcare practices utilizing digital radiography (DR), the group announced. The ACR Dose Index Registry in digital radiography or ACR DIR-DR will gather anonymous exam records to compare dose indices between healthcare facilities. Read our Chest Imaging Special Series.
Despite industry promises, artificial intelligence (AI) may not transform radiology until the 2030s, predicted two AI experts. They stated that AI healthcare breakthroughs are still years in the future, though technology will blossom within the next decade. Not all of the necessary data have been digitized yet, including the human element of care, which isn’t often documented, they added. Learn about AI features for radiology that you can adopt today.
3D mammography leads to fewer breast cancers between screening rounds – Axis Imaging News
3D mammography reduces the number of breast cancer cases diagnosed in the period between routine screenings, when compared with traditional mammography, according to a large study published in Radiology. The researchers compared cancers detected in between screenings, so-called intervals cancers. One researcher indicated that 3D mammography, or digital breast tomosynthesis, may detect cancers that would otherwise be diagnosed later at a more advanced stage.