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

Download Mobile App




Ultrasound Innovations Improve Breast Cancer Detection

By MedImaging International staff writers
Posted on 14 Nov 2018
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
Digital Radiographic System
OMNERA 300M
MRI System
nanoScan MRI 3T/7T
X-Ray Illuminator
X-Ray Viewbox Illuminators
Portable X-ray Unit
AJEX140H

Channels

General/Advanced Imaging

view channel
Image: A multinational study reports that AI can quickly generate clinically acceptable radiotherapy plans across care settings (Photo courtesy of Adobe Stock)

AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer

Cervical cancer causes most of its global mortality in low- and middle-income countries, where radiotherapy capacity and specialist staff are limited. Treatment planning is labor-intensive and can delay... Read more

Imaging IT

view channel
Image: Researchers develop a vision-language model trained on large-scale data to generate clinically relevant findings from chest computed tomography images through visual question answering (Ms. Maiko Nagao from Meijo University, Japan)

Interactive AI Tool Supports Explainable Lung Nodule Assessment

Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.