A software tool developed by German researchers allows the viewer to use a movable probe over a volume CT or MR image to designate a tissue slice from any angle, operating much like an ultrasound probe of live tissue. A refinement shown at the RSNA
A software tool developed by German researchers allows the viewer to use a movable probe over a volume CT or MR image to designate a tissue slice from any angle, operating much like an ultrasound probe of live tissue. A refinement shown at the RSNA meeting permits the viewer to capture and mark the process they follow in moving the probe.
A software tool that allows a probe-based exploration of CT and MR volume data sets could become a learning tool for radiologists who are beginning to interpret 3D images, according to its developers.
Shown in an infoRAD exhibit, the tool is the latest incarnation of a concept introduced at the 2001 RSNA meeting. It allows a wand to be moved over a volume image to designate a tissue slice from any angle, operating much like an ultrasound probe of live tissue. The exhibit won awards in 2001 and 2002.
Since then, the developers have continued to refine the concept and add features. The latest addition is a tracking system that allows the user to capture the process of the wand as the viewer moves it through the data set. The user can also leave markers.
The product could be used as a learning tool to help radiologists learn volumetric interpretation strategies, said Michael Teistler, a professor of radiology at Braunschweig University of the Technology Institute for Medical Informatics in Germany. It could also be used in presentations.
Volume imaging is growing in importance as MR sequences and multidetector scanners generate more images per study. Radiologists are increasingly turning to volume image interpretation strategies to overcome data overloads.
One problem, however, is that there are no real standards for dealing with volume imaging, Teistler said. Although the imaging and software tool does not provide the standards, it does contribute to an understanding of how they might be developed as volume imaging moves into clinical practice.
The basic volume imaging tool has been a big draw at the RSNA infoRAD exhibit. It won a magna cum laude award in 2001 and a cum laude award in 2002. The first version was primarily educational and based on the Visible Human Project, Teistler said. The second version showed the diagnostic possibilities, and this year's version improves on that concept.
Although it is based on CT and MR data sets, the visualization tool could be adapted to 3D ultrasound data sets, he said. A video showing the system is available at www.virtusmed.com/demo.mpg.
Can Photon-Counting CT be an Alternative to MRI for Assessing Liver Fat Fraction?
March 21st 2025Photon-counting CT fat fraction evaluation offered a maximum sensitivity of 81 percent for detecting steatosis and had a 91 percent ICC agreement with MRI proton density fat fraction assessment, according to new prospective research.
The Reading Room Podcast: Current Perspectives on the Updated Appropriate Use Criteria for Brain PET
March 18th 2025In a new podcast, Satoshi Minoshima, M.D., Ph.D., and James Williams, Ph.D., share their insights on the recently updated appropriate use criteria for amyloid PET and tau PET in patients with mild cognitive impairment.
Strategies to Reduce Disparities in Interventional Radiology Care
March 19th 2025In order to help address the geographic, racial, and socioeconomic barriers that limit patient access to interventional radiology (IR) care, these authors recommend a variety of measures ranging from increased patient and physician awareness of IR to mobile IR clinics and improved understanding of social determinants of health.
AI-Initiated Recalls After Screening Mammography Demonstrate Higher PPV for Breast Cancer
March 18th 2025While recalls initiated by one of two reviewing radiologists after screening mammography were nearly 10 percent higher than recalls initiated by an AI software, the AI-initiated recalls had an 85 percent higher positive predictive value for breast cancer, according to a new study.