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 hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

GE Healthcare

GE Healthcare provides medical imaging and information technologies, medical diagnostics, patient monitoring systems,... read more Featured Products: More products

Download Mobile App




Automated Ultrasound Technology Improves Dense Breast Acquisitions

By MedImaging International staff writers
Posted on 18 Dec 2018
Print article
Image: The Invenia 2.0 ABUS system imaging dense breast tissue (Photo courtesy of GE Healthcare).
Image: The Invenia 2.0 ABUS system imaging dense breast tissue (Photo courtesy of GE Healthcare).
An innovative mammography supplemental system based on automated breast ultrasound (ABUS) can improve dense breast cancer detection rates by 55%.

The GE Healthcare (GE, Little Chalfont, United Kingdom) Invenia 2.0 ABUS system provides updated automatic volumetric ultrasound scanning, using a high-frequency reverse curve transducer and advanced algorithms that automate the imaging process. The three dimensional (3D) volumes are displayed in a series of coronal view slices from skin surface to the chest wall using proprietary pattern recognition software, resulting in rapid and intuitive analysis of intricate breast anatomy and pathology.

Image optimization algorithms include the cSound Imageformer, a software-based graphics processor that provides operator-independent acquisition to ensure high fidelity and reproducibility. cSound also allows significantly more data to be used so as to create images that are automatically optimized in the focal zones, with no image manipulation required. Additional software features include breast border and chest wall detection, tissue equalization, and nipple shadow compensation. A high-resolution touch screen display helps to quickly and easily maneuver through the Invenia ABUS exam.

To improve the patient experience, the gentle shape of the reverse curve transducer follows the natural contour of the breast, providing increased contact and helping to ensure comprehensive coverage. The 15 cm large field-of-view transducer is easy to position and maintains even compression while scanning. Mammography exams can be customized with programmable scan protocols and adjustable scan depths and compression levels; with the touch of a button, the operator can also shorten scan time once breast tissue acquisition is complete.

“We believe ABUS can help clinicians find significantly more cancers than mammography alone, especially in women with dense breasts,” said Luke Delaney, general manager of automated breast ultrasound at GE Healthcare. “As breast ultrasound technology continues to advance, we are investing to continually improve image quality, workflow, and patient comfort – all of which contribute to early detection and improved outcomes.”

Breast density is a measurement of the amount of fatty tissue versus the amount of fibrous tissue in the breast. Because both tumors and dense tissue appear white on a mammogram, the tumors often remain masked, resulting in almost one third them invisible to X-ray mammography. According to a 2014 report published by the Journal of the U.S. National Cancer Institute, an estimated 43.3% of women between the ages of 40 and 74 years old have extremely dense breast tissue.

Related Links:
GE Healthcare

New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
Digital X-Ray Detector Panel
Acuity G4
Portable X-ray Unit
AJEX130HN
New
Imaging Table
CFPM201

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

MRI

view channel
Image: Artificial intelligence models can be trained to distinguish brain tumors from healthy tissue (Photo courtesy of 123RF)

AI Can Distinguish Brain Tumors from Healthy Tissue

Researchers have made significant advancements in artificial intelligence (AI) for medical applications. AI holds particular promise in radiology, where delays in processing medical images can often postpone... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... 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
Copyright © 2000-2024 Globetech Media. All rights reserved.