Acoustic output standard released

Article

Discussions among scientists, physicians, regulators and industryrepresentatives have resulted in the publication of the AIUM/NEMAacoustic output standard for ultrasound devices. The document,which covers acoustic parameters as well as mechanical and

Discussions among scientists, physicians, regulators and industryrepresentatives have resulted in the publication of the AIUM/NEMAacoustic output standard for ultrasound devices. The document,which covers acoustic parameters as well as mechanical and thermalindices, is available from the National Electrical ManufacturersAssociation.

The acoustic output standard has been in development since1989, when the Food and Drug Administration suspended power outputlimits on ultrasound equipment. At the same time, the agency requiredthat safety features be established to offset questions of safetyraised by high-output ultrasound machines.

Researchers began asking what output parameters are neededto permit reasonable risk-benefit decisions by average users.

"We must provide information to users in order to maintainsafety, while providing them with the ability to go to higherlevels and potentially obtain better image quality," saidDr. William J. O'Brien, director of the Bioacoustics ResearchLaboratory at the University of Illinois in Urbana.

The newly adopted standard is the result of a collaborativeeffort between the FDA, ultrasound manufacturers and the AmericanInstitute of Ultrasound in Medicine.

The acoustic output standard describes measurement proceduresfor ultrasound output parameters. It defines types of acousticoutput levels and details standard procedures for measuring acousticoutput parameters.

The standard for real-time display of thermal and mechanicaloutput indices on ultrasound units aids users in monitoring acousticoutput while maximizing clinical information.

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.