Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GC Medical Science corp.

Download Mobile App




CT Nodule Detection App Clears Lung Structure

By HospiMedica International staff writers
Posted on 19 Oct 2016
A novel lung nodule detection application allows superior automatic nodule detection performance for all primary nodule types, including solid, sub-solid, and ground glass nodules.

The Riverain Technologies (Miamisburg, OH, USA) ClearRead CT nodule detection application, powered by acquisition normalization technology, is designed to seamlessly processes computerized tomography (CT) scans from a wide range of manufacturers and acquisition protocols, suppresses lung vessel without the need for new hardware or customized tuning to specific protocols. More...
The app is comprised of two powerful tools, ClearRead CT | Vessel Suppress, and ClearRead CT | Detect.

The ClearRead CT | Vessel Suppress tool was built using hundreds of normal scans spanning many different acquisition protocols, using thousands of simulated nodules to capture the large variety of different morphologies, texture, and attenuation characteristics of real nodules. The tool works by predicting the local lung air value, except where there is nodule tissue, which is left unaltered. Vessel suppression also suppresses the bronchial tree and pulmonary fissures, thus essentially suppressing all normal structures.

ClearRead CT | Detect is built on top of ClearRead CT | Vessel Suppress; using the vessel suppressed CT series, candidate nodules are detected using nothing more than simple thresholding and morphological post-processing. Through vessel suppression, nodules can thus be robustly and consistently detected, segmented, and characterized. Detect attempts to limit the number of false positives--such as residual vascular structure, bronchial wall, or scarring--but the radiologist must remain diligent, as some nodules may be inadvertently removed in the process.

Concurrent reading and deep learning enable the vessel suppression technology to assist both machine and humans in the detection and characterization of all primary nodule types, allowing for previously unattained detection performance. In a recent multi-reader, multi-case clinical trial, radiologists achieved a 29% reduction in missed actionable nodules, while reducing reading time by 26%. The ClearRead CT nodule detection application has been approved by the U.S. Food and Drug Administration (FDA).

“Achieving high reading efficiency while maintaining accuracy is increasingly important given the burden placed on today’s radiologists. With more patients and increased data volume due to thinner sections, ClearRead CT offers a critical advantage,” said Steve Worrell, CEO of Riverain. “The use of deep learning and other key technologies to suppress the vessels in CT scans proved to be essential in realizing a product capable of achieving the two competing objectives.”

Related Links:
Riverain Technologies


Platinum Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Gold Member
Enteral Feeding Pump
SENTINELplus
Pulmonary Ventilator
OXYMAG
Infrared Digital Thermometer
R1B1
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Surgical Techniques

view channel
Image: Professor Bumsoo Han and postdoctoral researcher Sae Rome Choi of Illinois co-authored a study on using DNA origami to enhance imaging of dense pancreatic tissue (Photo courtesy of Fred Zwicky/University of Illinois Urbana-Champaign)

DNA Origami Improves Imaging of Dense Pancreatic Tissue for Cancer Detection and Treatment

One of the challenges of fighting pancreatic cancer is finding ways to penetrate the organ’s dense tissue to define the margins between malignant and normal tissue. Now, a new study uses DNA origami structures... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.