Technology | Quality Assurance (QA) | August 30, 2019

CIRS Launches Ultrasound Quality Assurance Software

Ultrasound QA Portal makes quality assurance easier for CIRS ultrasound phantoms

CIRS Launches Ultrasound Quality Assurance Software

August 30, 2019 — The CIRS Ultrasound Quality Assurance Portal helps users of CIRS general-purpose ultrasound phantoms manage their ultrasound testing program with an easy-to-use, cloud-based application. Video and written instructions for all tests are provided within the app, and test results can either be entered directly to the app, or a data entry form can be downloaded for offline collection. 

The Ultrasound QA Portal provides convenient reporting and charting features to track results. It comes pre-loaded with default testing protocols that are designed to meet the recommended practices of the American College of Radiology, the American Institute of Ultrasound in Medicine and the American Association of Physicists in Medicine. Users can easily modify to meet their specific requirements. 

Use of the QA Portal Software is complimentary for any CIRS customer who owns one or more of the following phantoms; 040GSE, 054GS, ATS539 or ATS570. To get started, customers register with the following information; phantom serial number, model number, institution name, institution contact phone number, first name, last name and email at http://qaportal.cirsinc.com. 

For more information: www.cirsinc.com

Related Content

Sponsored Content | Videos | Quality Assurance (QA) | December 06, 2019
Modus QA is proud to offer a superior phantom for quantifying geometric distortion in modern MRgRT applications. Watc
 MRI system cardiac scan from DeBakey Hospital
News | Magnetic Resonance Imaging (MRI) | December 05, 2019
December 5, 2019 — The following is by Lawr
MRI Exablate neuro helmet from INSIGHTEC

MRI Exablate neuro helmet from INSIGHTEC. Image courtesy of Ali Rezai, M.D., and RSNA.

News | Clinical Trials | December 03, 2019
December 3, 2019 — Focused ultrasound is a safe and effective way to target and open areas of the blood-brain barrier
#RSNA19 A sophisticated type of artificial intelligence (AI) can detect clinically meaningful chest X-ray findings as effectively as experienced radiologists, according to a study published in the journal Radiology.

Image courtesy of GE Healthcare

News | Artificial Intelligence | December 03, 2019
December 3, 2019 — A sophisticated type of...
News | Digital Radiography (DR) | November 30, 2019
December 1, 2019 — Fujifilm Medical Systems U.S.A.
REiLI AI platform auto segmentation.
News | Artificial Intelligence | November 30, 2019
December 1, 2019 — Fujifilm Medical Systems U.S.A.
Image by Kira Hoffmann from Pixabay  #RSNA19

Image by Kira Hoffmann from Pixabay 

News | Clinical Trials | November 30, 2019
November 30, 2019 — Researchers are trying to identify injury patterns and predict future outcomes for victims of gun