Technology | Digital Radiography (DR) | October 12, 2016

Konica Minolta Showcases Digital U-Arm at RSNA 2016

Floor-mounted system features pre-programmed positions and dual console for reducing operating steps, faster exam times

Konica Minolta, digital U-arm, RSNA 2016

October 12, 2016 — Konica Minolta will highlight its new digital U-arm, featuring a state-of-the-art design that facilitates exam efficiency and an optimal workflow, at the 2016 annual meeting of the Radiological Society of North America (RSNA), Nov. 27-Dec. 3 in Chicago. Pre-programmed positions and a dual console allows for reduced operating steps and faster exam times. This floor-mounted system fits 8-foot ceilings for greater installation flexibility.

The new Konica Minolta U-Arm runs on the company’s advanced Ultra Software and features a 17x17 inch Cesium detector for optimum coverage and image quality. With Ultra Software on the console, technologists can accept and reject images, confirm and review patients, and even add patients to the worklist on-the-fly. Anatomy positioning is simplified with a smaller panel enclosure than other available stands for efficient use of space. The stand performs automatic stitching and the three-knob collimator provides additional control over the imaging area.

The stand also lowers to less than 1 foot for easier patient positioning, especially useful for imaging elderly or unsteady patients.

For more information: www.konicaminolta.com/medicalusa

Related Content

Oxipit Introduces Multilingual Support for ChestEye AI Imaging Suite
News | Artificial Intelligence | April 16, 2019
The CE-certified ChestEye artificial intelligence (AI) imaging suite by Oxipit is now available in seven European...
Check-Cap Initiates U.S. Pilot Study of C-Scan for Colorectal Cancer Screening
News | Colonoscopy Systems | April 15, 2019
Check-Cap Ltd. has initiated its U.S. pilot study of the C-Scan system for prevention of colorectal cancer through...
Enlitic Closes Series B Funding for Artificial Intelligence Solutions for Radiologists
News | Artificial Intelligence | April 08, 2019
Radiology artificial intelligence (AI) company Enlitic announced the close of its $15 million Series B financing round...
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displa
Artificial Intelligence Can Improve Emergency X-ray Identification of Pacemakers
News | X-Ray | March 29, 2019
A research team from Imperial College London believes a new software could speed up the diagnosis and treatment of...
FDA Clears Mobilett Elara Max Mobile X-ray from Siemens Healthineers
Technology | Digital Radiography (DR) | March 20, 2019
The U.S. Food and Drug Administration (FDA) has cleared the Mobilett Elara Max mobile X-ray system from Siemens...
Shimadzu School of Radiologic Sciences Approved at Midwestern State University
News | Digital Radiography (DR) | March 05, 2019
Shimadzu Medical Systems USA (SMS) announced that The Shimadzu School of Radiologic Sciences has been approved by...
Agfa Receives FDA Clearance for DR 800 With Tomosynthesis
Technology | Digital Radiography (DR) | February 21, 2019
Agfa Healthcare has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its DR 800 multipurpose...
Philips Earns FDA Clearance for DigitalDiagnost C90 DR System
Technology | Digital Radiography (DR) | February 20, 2019
Philips announced it has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) to market the...
In today’s digital environment, a radiologist only sees images saved and shared to the PACS, so a firm understanding of X-ray reject rates is crucial for high image quality and good workflow.

In today’s digital environment, a radiologist only sees images saved and shared to the PACS, so a firm understanding of X-ray reject rates is crucial for high image quality and good workflow.

Feature | Digital Radiography (DR) | January 29, 2019 | By Jeff Zagoudis
X-rays were the first medical imaging technology to be invented, and they remain one of the most commonly performed e