ECR 2017 stands tall as showcase for product launches
March 4, 2017 -- VIENNA - The European Congress of Radiology in recent years has come into its own as a showcase for new launches of medical imaging products. ECR 2017 was no exception, with a variety of new scanner debuts in MRI, CT, and other modalities.
Chest CT with iterative recon achieves x-ray doses
March 4, 2017 -- VIENNA - Chest CT scans acquired at radiation doses as low as an x-ray showed lesions of all kinds conspicuously, using the latest dual-source CT scanner and iterative reconstruction. Individualized approaches tailored to specific lesion types cut the dose even further, researchers said on Friday at ECR 2017.
Neural networks read mammograms as well as radiologists
March 3, 2017 -- VIENNA - Deep artificial neural networks can read mammograms as well as radiologists, according to research from Switzerland presented at ECR 2017 on Thursday. Neural networks can also be trained with a relatively small amount of data, the group found.
CAD beats readers for subsolid lung nodules
March 3, 2017 -- VIENNA - A computer-aided detection (CAD) scheme outperformed experienced human readers in detecting subsolid nodules as well as cancers in data from more than 2,000 lung cancer screening subjects, researchers reported on Thursday at ECR 2017.
Software quantifies emphysema on MDCT images
March 2, 2017 -- VIENNA - An automated software algorithm can be used to quantify emphysema on MDCT studies, offering radiologists a useful tool for diagnosis and follow-up of chronic obstructive pulmonary disease, according to research presented on Thursday at ECR 2017.
Artifact reduction algorithm boosts utility of 4D CT
February 27, 2017 -- Four-dimensional CT images can improve radiation therapy planning in the upper thorax and abdomen, but motion artifacts often make the images nondiagnostic. New algorithms that provide deformable registration and respiratory motion simulation clear up the picture.
Machine learning in radiology targets efficiency
February 16, 2017 -- While artificial intelligence is unlikely to replace radiologists any time soon, a new breed of software applications based on machine learning is poised to take on many of their tedious, repetitive, and time-consuming tasks -- improving productivity and freeing up more time.
Machine-learning analysis of heart motion predicts survival
February 9, 2017 -- A machine-learning survival model based on 3D cardiac motion predicts outcomes beyond conventional risk factors in patients with pulmonary hypertension, according to a new study from the U.K. and Singapore. Semiautomated analysis of the cine MR images could potentially be used to guide patient management.
Virtual coaching takes on x-ray training
February 3, 2017 -- A New Zealand start-up called Virtual Medical Coaching aims to reinvent radiographer and radiologic technologist training by making it more virtual, more personalized, more flexible, and above all more relevant for students.
CAD finds vertebral lung cancer metastases
January 27, 2017 -- Readers using an original computer-aided detection (CAD) algorithm that subtracts thoracic 3D CT images from follow-up images found more vertebral metastases than readers working unaided, according to a study in PLOS One.
Special Feature
3DHeals conference explores 3D printing and more

3D printing is revolutionizing medicine -- and radiology with it. But what's the best way to learn about this emerging discipline? The 3DHeals International Conference, being held in San Francisco on April 20, will explore 3D printing in healthcare with an eye on virtual reality, augmented reality, and artificial intelligence. Read more

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