Agfa HealthCare Launches Affordable, Table-Top CR 10-X Solution at ECR 2012

Agfa HealthCareAgfa HealthCare launches its new CR 10-X computed radiography (CR) solution at ECR 2012. With this affordable CR system, lower-volume hospitals and private practices can benefit from the workflow advantages of digital radiography, without compromising on image quality.

Convenient, table-top and versatile
The CR 10-X is an affordable, table-top CR system specially designed to offer a cost-effective entry into CR that doesn't compromise on image quality. This versatile solution can handle general radiography, orthopædic, chiropractic and full leg/full spine (FLFS) applications. It allows lower-volume hospitals and private practices to take advantage of the convenient and fast workflow offered by digital radiography.

With its small size, the CR 10-X is equally suited for mobile applications. Streamlined and using minimal moving parts, the solution can withstand harsh environments and temperature changes. It is designed to be robust and reliable, yet easy to maintain and use, for a lower total cost of ownership. It also offers excellent network capabilities, for seamless integration with the hospital's environment.

Excellent image quality and smooth workflow
Despite its compact size and cost-effective design, the CR 10-X makes no compromises on image quality, offering high-resolution scanning of 100 µm pixels at a rate of 34 plates per hour. Like all of Agfa HealthCare's CR solutions, it comes with Agfa HealthCare's gold-standard MUSICA2 image processing software and NX workstation. MUSICA2 analyzes each image and automatically applies the appropriate image enhancement parameters independent of the exam type, while the NX workstation provides very fast image acquisition and a smooth workflow. The CR 10-X can be combined with Agfa HealthCare's DRYSTAR 5302 imager or its SE Suite software to deliver a complete hardcopy or softcopy CR solution at an affordable price.

Meeting the needs of every healthcare facility, whatever size or budget
"Agfa HealthCare continues to focus on offering a complete solutions portfolio that meets the specific needs of any healthcare facility, regardless of size, workflow design or budgetary considerations," comments Dirk Debusscher, Vice President Imaging at Agfa HealthCare. "Our CR 10-X supports that goal. We have used proven Agfa HealthCare technology to design an affordable and compact solution that doesn't compromise on image quality."

Related news articles:

About Agfa
The Agfa-Gevaert Group is one of the world's leading companies in imaging and information technology. Agfa develops manufactures and markets analogue and digital systems for the printing industry (Agfa Graphics), for the healthcare sector (Agfa HealthCare), and for specific industrial applications (Agfa Materials). Agfa is headquartered in Mortsel, Belgium. The company is present in 40 countries and has agents in another 100 countries around the globe. The Agfa-Gevaert Group achieved a turnover of 2,948 million euro in 2010.

About Agfa HealthCare
Agfa HealthCare, a member of the Agfa-Gevaert Group, is a leading global provider of diagnostic imaging and healthcare IT solutions. The company has nearly a century of healthcare experience and has been a pioneer on the healthcare IT market since the early 1990's. Today Agfa HealthCare designs, develops and delivers state-of-the-art systems for capturing, managing and processing diagnostic images and clinical/administrative information for hospitals and healthcare facilities, as well as contrast media solutions to enable effective medical imaging results. The company has sales offices and agents in over 100 markets worldwide. Sales for Agfa HealthCare in 2010 were 1,180 million euro.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...