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




Ultrasound Innovations Improve Breast Cancer Detection

By MedImaging International staff writers
Posted on 14 Nov 2018
Print article
Image: The new ultrasound technique shows a breast tumor in yellow (Photo courtesy of Orçun Göksel / ETH).
Image: The new ultrasound technique shows a breast tumor in yellow (Photo courtesy of Orçun Göksel / ETH).
A new ultrasound imaging method based on speed-of-sound (SoS) can help distinguish benign breast tumors from malignant ones.

Developed by researchers at the Swiss Federal Institute of Technology (ETH; Zurich, Switzerland) and University Hospital Zürich (USZ; Switzerland), the new method relies on the principle that the density and rigidity of tissues determines the speed of the sound echo. Since tumors are more rigid than their surrounding tissue, sound travels 3% faster (on average) in malignant tissues than in healthy tissues, and 1.5% faster than in benign tumors. Image reconstruction strategy is based on measuring the differential time-of-flight measurements due to displacement of the ultrasound wave propagation paths.

The method requires single-sided access to the tissue, and can be applied to conventional ultrasound equipment, and for a range of transducers and applications. In clinical trials involving breast cancer imaging, the proposed method successfully improved contrast ratio from 0.37 to 0.67 for even high noise levels (50%) during Fourier-domain reconstruction. The enhanced contrast images cannot only detect the presence of tumors, but can also aid in distinguishing benign tumors from malignant ones. The study was published on October 26, 2018, in Physics in Medicine and Biology.

“Ultrasound is successful because it is safe, portable and inexpensive. Our goal is to provide physicians with a better tool for decision-making during routine checks, and to avoid unnecessary biopsies,” said senior author Orçun Göksel, PhD, of ETH Zurich. “Our technology preserves these advantages while addressing the main limitation of conventional ultrasound, image quality, which is still a problem for diagnosis in many clinical cases. Compared with conventional ultrasound, our images are much easier to interpret.”

Related Links:
Swiss Federal Institute of Technology
University Hospital Zürich
Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Wireless Handheld Ultrasound System
TE Air
New
Brachytherapy Planning System
Oncentra Brachy
New
Enterprise Imaging & Reporting Solution
Syngo Carbon

Print article
Radcal

Channels

MRI

view channel
Image: 11.7 teslas (T) of magnetic field vs. 1.5 and 3 T for conventional MRI machines in hospitals (Photo courtesy of CEA)

World’s Most Powerful MRI Machine Images Living Brain with Unrivaled Clarity

The world's most powerful magnetic resonance imaging (MRI) scanner has generated its first images of the human brain, demonstrating new precision levels that could shed more light on the mysterious human... Read more

Nuclear Medicine

view channel
Image: The radiotheranostic platform employs a MUC16-targeting humanized antibody, huAR9.6 (Photo courtesy of MSK)

New Radiotheranostic System Detects and Treats Ovarian Cancer Noninvasively

Ovarian cancer is the most lethal gynecological cancer, with less than a 30% five-year survival rate for those diagnosed in late stages. Despite surgery and platinum-based chemotherapy being the standard... Read more

General/Advanced Imaging

view channel
Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... 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.