Download Mobile App

Video Library

Kodak Imaging System Earns "Best in Class” Award

By MedImaging staff writers
Posted on 26 Jan 2007

The DirectView CR 975 digital medical imaging system recently earned a prestigious 2006 "Best in Klas” award in the computed radiography (CR) market segment from Klas Enterprises (Orem, UT, USA), Kodak's Health Group (Rochester, NY, USA) recently announced.

Klas Enterprises provides vendor performance ratings for a wide range of healthcare technologies. The Best in Klas awards are the result of thousands of interviews with healthcare facilities that rate their technology vendors in 40 indicators such as proactive service and on-time implementation.

The CR 975 system is part of Kodak's wide range of digital medical imaging devices. The system combines image quality enhancements with excellent throughput made possible by its ability to handle 16 cassettes at a time. It provides noise suppression that enhances visualization of anatomy in low-contrast areas while preserving diagnostic detail. Its novel design features reliable, rigid cassettes combined with an internal central processing unit (CPU) and uninterruptible power supply (UPS) to prevent downtime during network or power outages.

Related Links:
Klas Enterprises
Kodak

Visit expo >

X-Ray Generator

Advantage Plus Generators

Mobile X-Ray System

K4W

Mammo DR Retrofit Solution

DR Retrofit Mammography

Digital X-Ray Detector Panel

Acuity G4

Latest Industry News News

Channels

Radiography

view channel

Image: Screening mammograms and artificial intelligence (AI) score changes over time in two individuals with screen-detected cancer. Full-field digital mammograms show craniocaudal (top) and mediolateral (bottom) views of the left and right breast (Photo courtesy of Radiological Society of North America)

AI Mammography Tools Detect Early Breast Cancer Signs Years Before Diagnosis

Breast cancer screening aims to detect tumors before symptoms develop, but subtle mammographic changes can appear years before diagnosis and may be missed during routine reads. Delayed detection can lead... Read more

$Image: Kyushu University researchers use Dynamic Chest Radiography (DCR) to evaluate the severity of Pulmonary Regurgitation (PR), a common complication after treatment of the congenital heart disease Tetralogy of Fallot. The analysis only requires the patient to hold their breath for seven seconds for a sequence of images of their heart to be taken. The images are then analyzed and extracted into a waveform that can show the severity of PR. The new technique\\\'s detection accuracy of severe PR is 93%, with a sensitivity of 93% and a specificity of 94%. (Photo courtesty of Kyushu University/Yuzo Yamasaki)$

Rapid X-Ray Test Quantifies Pulmonary Regurgitation After Tetralogy of Fallot Repair

Tetralogy of Fallot is the most common cyanotic congenital heart defect and can leave patients with pulmonary valve regurgitation, a backward flow of blood into the right ventricle after repair.... Read more

Image credit: Shu-Han Chen / St. Paul’s Hospital / National Taiwan University

AI Tool Flags Osteoporosis Risk from Routine Chest X-Rays

Osteoporosis is a progressive loss of bone density that is often silent until a fracture occurs. Current screening frameworks concentrate on older women and select high-risk groups. Many men, younger adults,... Read more

Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery

Obstructive ventilatory disorder, marked by airflow limitation that reduces breathing efficiency, increases postoperative risk in patients with lung cancer. Although surgery offers the best chance of cure,... Read more

MRI

view channel

International Study Assesses AI for Prostate Cancer MRI Interpretation

Prostate cancer is a leading cause of cancer morbidity in men, and accurate early diagnosis hinges on expert interpretation of prostate magnetic resonance imaging (MRI). Rapid adoption of MRI-first pathways... Read more

$Image: By training the AI with simulations, researchers can reconstruct brain images with high precision using only one-tenth of the data typically required in magnetic resonance imaging. The image shows a metric known as “fractional anisotropy”—an index of myelination—obtained using conventional methods and with the new approach (Photo courtesy of Instituto de Neurociencias UMH CSIC)$