Technology | Artificial Intelligence | November 09, 2018

ContextVision Introduces AI-Powered Image Enhancement for Digital Radiography

Altumira software addresses challenges regarding durability and high image quality for all X-ray and angiography exams

ContextVision Introduces AI-Powered Image Enhancement for Digital Radiography

November 9, 2018 — With the integration of deep learning technology, ContextVision takes digital radiography (DR) to new levels with its latest image enhancement platform, Altumira.

ContextVision’s new technology supports clinicians to accurately interpret medical imaging, leading the way to better diagnoses and improved patient care. Altumira is specially designed to meet the demanding needs of DR, and addresses significant challenges regarding durability and high image quality that have been difficult to solve before, including:

  • Varying exposure conditions between patients;
  • A wide variety of image characteristics and requirements for all types of anatomies; and
  • Varying dose and intensity levels, as well as organs and collimators in motion in dynamic sequences.

Altumira is designed for all DR systems, from plain X-ray to the most advanced angiography systems. The software can provide greater contrast and resolution in parallel with intelligent noise suppression and harmonized intensity levels also for low-dose fluoroscopy as well as in high-quality angiography sequences.

This new product adds to ContextVision’s present product portfolio of image enhancement for 2-D/3-D/4-D ultrasound, magnetic resonance imaging (MRI), X-ray and mammography.

Demonstrations of Altumira, as well as ContextVision’s other solutions, will occur during the 2018 Radiological Society of North America (RSNA) annual meeting, Nov. 25-30 in Chicago.

For more information: www.contextvision.com

Related Content

By eliminating the need to move neonates from the NICU to the radiology department, Aspect Imaging’s Embrace enables a safer way to perform the MRI procedure
News | Magnetic Resonance Imaging (MRI) | December 01, 2020
December 1, 2020 — Based on its recent analysis of the global neonatal intensive care unit magnetic resonance imaging
Resoundant Inc., announced hat it has entered into a strategic partnership with United Imaging Healthcare to begin offering advanced magnetic resonance elastography (MRE) on leading United Imaging MRI systems.
News | Magnetic Resonance Imaging (MRI) | November 30, 2020
November 30, 2020 — Resoundant Inc., announced hat it has entered into a strategic partnership with...
Up to one-third of women who sustain a fracture to the ulna bone of the forearm may be victims of intimate partner violence

X-ray shows fracture to the ulna bone of the forearm. Image courtesy of RSNA

News | Radiology Imaging | November 30, 2020
November 30, 2020 — Up to one-third of adult women who sustain a non-displaced fracture to the ulna bone of the forea
Researchers developed a deep learning model that identifies imaging biomarkers to predict a patient’s risk for developing breast cancer

A deep learning model was developed that combined imaging and traditional risk factors.

News | Mammography | November 30, 2020
November 30, 2020 — Researchers at Massachusetts General Hospi...
During the virtual 106th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), Nov. 29 to Dec. 5, Siemens Healthineers announced the Food and Drug Administration (FDA) clearance of AI-Rad Companion Organs RT, the latest Siemens Healthineers artificial intelligence-based software assistant in the AI-Rad Companion family.
News | Artificial Intelligence | November 30, 2020
November 30, 2020 — During the virtual 106th Scientific Assembly and Annual Meeting of the...
The solution, presented at RSNA20, features image fusion and endovascular 3D navigation
News | Mobile C-Arms | November 30, 2020
November 30, 2020 — At this year's virtual RSNA congress,...
GE Healthcare unveiled a slate of new intelligently efficient solutions to help clinicians solve today’s two-part challenge of delivering high quality care while managing greater capacity and workflow issues, exacerbated by the impact of COVID-19.
News | Artificial Intelligence | November 30, 2020
November 30, 2020 — GE Healthcare unveiled a slate of new intelligently efficient solutions to help clinicians solve