Large-screen color and gray-scale monitors debut

Article

Two new 20.8-inch, 3-megapixel liquid crystal display monitors were introduced at the RSNA meeting by U.S. Electronics and Totoku of Japan.

Two new 20.8-inch, 3-megapixel liquid crystal display monitors were introduced at the RSNA meeting by U.S. Electronics and Totoku of Japan.

The CCL350i color display is suitable for viewing high-resolution color 3D images or monochrome ultrasound and endoscopic procedures. It has a 2048 x 1536 native resolution, maximum brightness of 400 nits, 10-bit (1021 gray-scale tones) capability, and viewing angle of 170°. The monitor displays 16.8 million colors and provides a contrast ratio of 450:1, digital visual interface, and portrait and landscape views.

The ME351i monochrome LCD offers the same large-screen size and image resolution as the color display. With a maximum brightness of 700 nits and contrast ratio of 900:1, 11.9-bit or 3826 gray-scale tone resolution, and digital visual interface, it is intended for viewing general radiology scans.

Both monitors use Totoku's lambda-Sentinel II Front sensor technology, which combines a front luminance sensor and an internal temperature sensor to eliminate fluctuations in backlight by continually collecting, analyzing, and adjusting luminance levels.

Recent Videos
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
A Closer Look at MRI-Guided Adaptive Radiotherapy for Monitoring and Treating Glioblastomas
Incorporating CT Colonography into Radiology Practice
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
What New Interventional Radiology Research Reveals About Treatment for Breast Cancer Liver Metastases
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Related Content
© 2025 MJH Life Sciences

All rights reserved.