Virtual reality enables parents to meet baby before birth January 18, 2017 -- A Finnish company has developed a virtual reality product to enable parents to meet their unborn child using 3D and 4D ultrasound. The developer thinks it could represent the future of fetal ultrasound and is speaking with a hospital and an ultrasound vendor to see what applications can be found.
Deep learning boosts CT colonography outcomes January 11, 2017 -- A new kind of electronic-cleansing algorithm can deliver reduced-prep CT colonography (CTC) to routine clinical practice, according to results from a multinational team of researchers. The group's technique for CTC outperformed two conventional methods, producing far fewer artifacts.
Swiss identify pros and cons of 3D printing January 4, 2017 -- Three-dimensional printing represents a valuable addition to the radiological report, and along with virtual reality, it will play an increasing role in conveying information to referrers, Swiss experts believe.
Machine learning improves FFR-CT for coronary ischemia January 3, 2017 -- In results that could potentially shake up the heart imaging status quo, a machine learning algorithm slightly outperformed a more traditional algorithm in analyzing fractional flow reserve CT (FFR-CT) studies for detecting signs of ischemic coronary lesions, according to a presentation at the recent RSNA 2016 meeting in Chicago.
4 steps to high-quality 3D printing for radiology December 16, 2016 -- 3D printing has skyrocketed in popularity in recent years with the advent of low-cost consumer-grade printers. And 3D printing's growth in healthcare is helping to boost radiology's reputation as an essential service and the first step in creating highly useful models for surgery, implantation, and education.
3D-printed kidney phantom advances SPECT/CT calibration December 15, 2016 -- German researchers have developed a low-cost 3D printing technology that can be used to create patient-specific organ models of varying sizes and shapes, according to a study published in the December issue of the Journal of Nuclear Medicine.
Video from RSNA 2016: AI and radiology -- Separating hope from hype December 2, 2016 -- CHICAGO - Artificial intelligence (AI) is one of the most hyped -- and most feared -- technologies to come along in radiology in years. Dr. Paul Chang from the University of Chicago separates AI's hope from hype in this video interview from RSNA 2016.
Prostate CAD boosts detection for most readers December 1, 2016 -- CHICAGO - MRI-based computer-aided detection (CAD) can improve detection sensitivity for prostate cancer for most readers, while reducing reading time fourfold, according to a 29 November presentation at RSNA 2016.