Catch up on the top radiology content of the past week.
|Articles|November 30, 2008
Philips ultrasound upgrade targets breast imaging
Author(s)Greg Freiherr
Enhancements in breast imaging mark the latest ultrasound upgrade from Philips Healthcare. Tissue aberration correction technology and algorithms built into the Vision 2009 upgrade for its iU22 radiological flagship are part of an integrated effort to better define tissue in fatty breasts, according to the company. An enabling technology is the Philips PureWave transducer and its coded beamformer, which have been present on earlier technologies.
Advertisement
Enhancements in breast imaging mark the latest ultrasound upgrade from Philips Healthcare. Tissue aberration correction technology and algorithms built into the Vision 2009 upgrade for its iU22 radiological flagship are part of an integrated effort to better define tissue in fatty breasts, according to the company. An enabling technology is the Philips PureWave transducer and its coded beamformer, which have been present on earlier technologies.
Tissue aberration correction, which was devised initially to look at obese patients, compensates for speed of sound variations of dense tissue, improving detail resolution and conspicuity of lesion details. Another major addition of Vision 2009 is the VL13-5 high-frequency volume linear transducer, which is clinically optimized for breast, thyroid, carotid, and general applications.
Advertisement
Related to this article
In the second of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss how to handle disagreements with adjunctive AI in breast imaging, whether to include AI assessments in PACS, and whether patients should pay for the use of adjunctive AI.
Catch up on the top radiology content of the past week.
Catch up on the most well-viewed video interviews from Diagnostic Imaging in September 2026.
Catch up on the top radiology content of the past week.
In the latest episode of her Breast Imaging in Focus series, Manisha Bahl, MD, MPH, FSBI, discusses new research comparing mammography-based AI models for breast cancer detection and short-term risk prediction.
How will generative AI software be evaluated by the FDA in the future? What’s next for point-of-care ultrasound? What steps have been successful in facilitating adoption of AI applications across enterprise systems? Leaders in radiology and health care will be discussing these topics and more at the upcoming HLTH USA conference.
In the third of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss recent developments with autonomous AI in breast imaging and share their perspective on the overall potential of AI to help mitigate the radiologist shortage.
Advertisement
Advertisement
Trending on Diagnostic Imaging
1
FDA Clears First MRI-Derived AI Software for Assessing Breast Cancer Recurrence Risk
2
How AI, Theranostics and More Empowered Patients Have Led to Significant Changes in Radiology
3
See the Real-World Impact of AI in Radiology
4
MRI Study Links Tightness of High-Convexity Sulci to Higher Risk of Cognitive Decline in Older Adults
5