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

Download Mobile App




Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.
30 Jan 2023 - 02 Feb 2023

Imaging Modality Combining Ultrasound and Supercomputing Could Revolutionize Breast Cancer Detection

By MedImaging International staff writers
Posted on 17 May 2022
Print article
Image: QUSTom is the first project that will use supercomputing to detect tumors (Photo courtesy of Pexels)
Image: QUSTom is the first project that will use supercomputing to detect tumors (Photo courtesy of Pexels)

Breast cancer is the most frequently diagnosed type of tumor in the world, with 2.3 million women diagnosed in 2020 and 700,000 deaths due to this disease that same year. Early detection is therefore essential, since, if successful, survival at five years after diagnosis is as high as 90%. Mammography is one of the most widely used methods to detect breast cancer and has saved millions of lives. However, there are studies that claim that it can give false positives and alert of a possible tumor that is not found later in the screening phase. Now, a new imaging modality aims to improve breast cancer diagnosis and potentially replace mammograms.

The Barcelona Supercomputing Center (BSC, Barcelona, Spain) is coordinating QUSTom (Quantitative Ultrasound Stochastic Tomography), a new European project that aims to introduce a new medical imaging modality based for the first time on ultrasound and supercomputing, which will complement or even replace current techniques that use X-rays such as mammograms. The consortium brings together physicists, engineers, exploitation experts and radiologists with the aim of applying the technology to patients for radiation-free, accurate and scalable breast cancer diagnosis. The technology will be completely safe for patients as it does not use any type of radiation. It will also offer a superior image quality and better monitoring of tumors, among other advantages.

The algorithms that will be developed to obtain the medical images will offer two types of images simultaneously: the image of the patient's tissue, and the image of its associated uncertainty, which shows, pixel by pixel, how reliable the information is. The project also incorporates concepts such as multimodal imaging and real 3D imaging, which is an unprecedented combination in ultrasound breast imaging. These algorithms, which will be developed using supercomputers within the BSC, will be inspired by others that have proven effective in completely different research areas such as the analysis of the earth's subsurface.

"QUSTom poses an excellent opportunity to bring ultrasound imaging to the next level. Interestingly enough, the revolution that we propose comes, not just from an extraordinary imaging device, but from the imaging algorithms used to generate unprecedented ultrasound images. Images that we can fairly compare to those obtained with MRI,” said BSC researcher and project coordinator Josep de la Puente. "We are very ambitious and plan for validation of the technology within the project's lifetime. We are also working on a roadmap towards its actual exploitation, we don't want this technology sitting in the lab. We are leaving no stone unturned towards satisfying what is, in our eyes, an urgent need for the female population worldwide. The challenge is huge but all of our partners and associates are extraordinarily committed and motivated towards our mission."

Related Links:
Barcelona Supercomputing Center 


Print article
CIRS -  MIRION
Radcal

Channels

MRI

view channel
Image: Hyperpolarized MRI technology reveals changes in heart muscle’s sugar metabolism after heart attack (Photo courtesy of ETH Zurich)

MRI Technology to Visualize Metabolic Processes in Real Time Could Improve Heart Disease Diagnosis

Magnetic resonance imaging (MRI) has become an indispensable part of medicine. It allows unique insights into the body and diagnosis of various diseases. However, current MRI technology has its limitations:... Read more

General/Advanced Imaging

view channel
Image: AI tool predicts reduced blood flow to the heart (Photo courtesy of Pexels)

AI Tool Uses CT Scans to Identify Patients at Risk of Reduced Blood Flow to the Heart

Blockages of the coronary arteries typically occur due to the buildup of fatty plaques. This may restrict blood flow to the heart, causing chest pain, heart attacks, or even death. Identifying which arteries... 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 © 2000-2022 Globetech Media. All rights reserved.