Technology | Artificial Intelligence | November 09, 2018

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

News | RSNA

Sept. 22, 2026 — The Radiological Society of North America (RSNA) is now offering a certificate program that equips ...

Time September 24, 2026
arrow
News | Ultrasound Imaging

Sept. 16, 2026 — Ultrasound AI, Inc., a developer of artificial intelligence for medical imaging with a focus on ...

Time September 17, 2026
arrow
News | CT Angiography (CTA)

Sept. 15, 2026 — A new study published in the Journal of the American College of Radiology (JACR) found that an ...

Time September 15, 2026
arrow
News | Breast Imaging

Sept. 10, 2026 — An artificial intelligence model that analyzes women's past and recent annual 3D mammograms is more ...

Time September 10, 2026
arrow
Feature | Artificial Intelligence | Kyle Hardner

A radiologist pulls up a chest CT scan flagged for a pulmonary nodule. One artificial intelligence (AI) tool writes its ...

Time September 09, 2026
arrow
News | Lung Imaging

Sept. 8, 2026 – Brainomix and Endeavor BioMedicines recently presented positive results from the Brainomix AI-driven ...

Time September 09, 2026
arrow
News | Radiology Imaging

Aug. 13, 2026 — Epic's new Care Everywhere Diagnostic Image Exchange allows health systems using Epic to share ...

Time August 21, 2026
arrow
Feature | Artificial Intelligence | Kyle Hardner

Could the era of the empowered patient change how imaging reports are structured and presented? It’s a question on the ...

Time August 03, 2026
arrow
News | Computed Tomography (CT)

July 23, 2026 — HOPPR has introduced HOPPR EF Chest CT Narrative Model, a foundation model that processes 3D chest CT ...

Time July 27, 2026
arrow
News | Radiation Oncology

July 16, 2026 — Raidium has announced the U.S. launch of Raidium Read (R.Read), applying its AI-native imaging solution ...

Time July 16, 2026
arrow
Subscribe Now