Radiology Imaging

The radiology imaging channel includes technology news related to computed tomography (CT), digital radiography (DR / X-ray), ultrasound, magnetic resonance imaging (MRI), radiographic fluoroscopy (R/F), mammography, angiography, 3-D printing, contrast media injectors, molecular imaging, neurological imaging, pediatric imaging and radiation dose management. 

Jonathon Leipsic Awarded 2019 DeHaan Award for Innovation in Cardiology
News | Cardiac Imaging | July 08, 2019
July 8, 2019 – Jonathon A. Leipsic, M.D., FSCCT, is the recipient of the 2019 DeHaan Award for Innovation in Cardiology...
360 Photos | Ultrasound Imaging | July 08, 2019
This is a 360 degree view of a live cardiac echo demonstration for the Siemens Healthineers Acuson SC2000...
Delta T1 Maps Provide Quantitative, Automated Solution to Assess Brain Tumor Burden
News | Neuro Imaging | July 05, 2019
July 5, 2019 — Imaging Biometrics LLC (IB) a subsidiary of IQ-AI Ltd., is highlighting a recently published study in...
Medic Vision Wins Japanese PMDA Clearance for iQMR Image Reconstruction Solution
News | Magnetic Resonance Imaging (MRI) | July 05, 2019
July 5, 2019 — Medic Vision Imaging Solutions announced that its 3-D iterative image reconstruction technology for...
GE Healthcare showcases Senographe Pristina Serena featuring its add-on-biopsy kit at the Breast Imaging Symposium. Photo by Greg Freiherr

GE Healthcare showcases Senographe Pristina Serena featuring its add-on-biopsy kit at the Breast Imaging Symposium. Photo by Greg Freiherr

Feature | Breast Imaging | July 03, 2019 | By Greg Freiherr
Productivity and its enabler — efficiency — guided the display of products at the April...
Countless possibilities can impact the future of global healthcare and AI is the first step toward breakthrough that will change the landscape of personalized medicine
Feature | Women's Health | July 03, 2019 | By Samir Parikh
Contrary to what many people believe,...
3D Auto RV application image courtesy of Philips Healthcare

3D Auto RV application image courtesy of Philips Healthcare

Technology | Cardiovascular Ultrasound | July 02, 2019
July 2, 2019 — Philips recently announced new advanced automation capabilities on its Epiq CVx and Epiq CVxi...
Konica Minolta Healthcare Partners With DiA Imaging Analysis for AI-based Cardiac Ultrasound Analysis
News | Cardiovascular Ultrasound | July 02, 2019
July 2, 2019 — DiA Imaging Analysis has partnered with Konica Minolta Healthcare Americas Inc. to expand analysis...
A 3-D printed model (left) and a model constructed in augmented reality (right), both of a kidney with a tumor. In both models, the kidney is clear; the tumor is visible in purple on the AR model and in white on the 3-D printed model.

A 3-D printed model (left) and a model constructed in augmented reality (right), both of a kidney with a tumor. In both models, the kidney is clear; the tumor is visible in purple on the AR model and in white on the 3-D printed model. Photo courtesy of Nicole Wake, Ph.D.

Feature | Advanced Visualization | July 02, 2019 | By Jeff Zagoudis
Three-dimensional (3-D) printing and...
Bracco Imaging Acquires Blue Earth Diagnostics
News | Radiopharmaceuticals and Tracers | July 01, 2019
July 1, 2019 — Bracco Imaging S.p.A. has signed a definitive agreement to acquire Blue Earth Diagnostics, a...
vRad Presents AI Model to Assess Probability of Aortic Dissection
News | Artificial Intelligence | July 01, 2019
July 1, 2019 – vRad (Virtual Radiologic), a Mednax company recently made a scientific presentation, “...
The Acuson Sequoia with Deep Abdominal Transducer (DAX) scanning a 600 pound patient.

The Acuson Sequoia with Deep Abdominal Transducer (DAX) scanning a 600 pound patient.

Sponsored Content | Case Study | Ultrasound Imaging | July 01, 2019
“With our present technology, we often struggle with large patients,” said Richard G. Barr, M.D., Ph.D., at Southwoods...
David Anderson at SIIM

David Anderson presents information about the development of artificial Intelligence (AI) at SIIM 2019 as his father, Charles, looks on from a front row seat. The father-son team presented information at the SIIM annual meeting about their use of relatively shallow Deep Learning networks to analyze chest radiographs with AI.

Feature | Information Technology | July 01, 2019 | By Greg Freiherr
Two simple neural networks are better than one complex one, according to a father-son team of entrepreneurs. On June 27...
Philips Pinnacle

Image courtesy of Philips Healthcare

Feature | Treatment Planning | July 01, 2019 | By Jeff Zagoudis

Image courtesy of Philips Healthcare

Feature | Molecular Imaging | July 01, 2019 | By Sharvari Rale
Diagnostic procedures have always been a cornerstone of early prognosis and patient triaging. With a mass preference...
GE OEC Elite MiniView

Image courtesy of GE Healthcare

Feature | Mobile C-Arms | July 01, 2019 | By Paramjit “Romi” Chopra, M.D.
A mobile C-arm is a medical imaging...
Smart Algorithm Extracts Data from Radiology Reports
Feature | Information Technology | June 27, 2019 | By Greg Freiherr
Radiology reports may contain information essential to figuring out a patient’s condition. But this information is...