We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




CT Nodule Detection App Clears Lung Structure

By MedImaging International staff writers
Posted on 19 Oct 2016
Print article
Image: The ClearRead CT suppresses lung structures to identify nodules (Photo courtesy of Riverain Technologies).
Image: The ClearRead CT suppresses lung structures to identify nodules (Photo courtesy of Riverain Technologies).
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. 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

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Ultrasound Software
UltraExtend NX
Dose Calibration Electrometer
PC Electrometer
New
Ultrasound System
Acclarix AX9

Print article

Channels

Radiography

view channel
:	Image: The AI model could be a valuable adjunct to human radiologists in breast cancer diagnoses and risk prediction (Photo courtesy of 123RF)

AI Model Predicts 5-Year Breast Cancer Risk from Mammograms

Approximately 13% of U.S. women, or one in every eight, are predicted to develop invasive breast cancer over their lifetime, with 1 in 39 women (3%) succumbing to the illness, according to the American... Read more

Nuclear Medicine

view channel
Image: The AI system uses scintigraphy imaging for early diagnosis of cardiac amyloidosis (Photo courtesy of 123RF)

AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging

Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more

Industry News

view channel
Image: Samsung Medison CEO Mr. Yongkwan Kim and Bracco Imaging CEO Dr. Fulvio Renoldi Bracco endorsed a MoU agreement (Photo courtesy of Bracco Group)

Samsung and Bracco Enter Into New Diagnostic Ultrasound Technology Agreement

Samsung Medison (Seoul, South Korea) and Bracco Imaging (Milan, Italy) have entered into a Memorandum of Understanding (MoU) agreement to pioneer a new area for diagnostic ultrasound devices and contrast agents.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.