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

Download Mobile App




HyperImage Project Advances Research on Hybrid PET/MR Scanner Technology

By MedImaging International staff writers
Posted on 19 Nov 2009
Print article
An imaging project has achieved a major milestone in its plan to create a new medical imaging technique called hybrid PET/MR. This new technique is based on the simultaneous acquisition of time-of-flight positron emission tomography (PET) and magnetic resonance (MR) images.

The leader of the European Union-funded HYPERImage research project is Philips Healthcare (Best, The Netherlands). The project involves eight partners from six European countries and has a total budget of around EUR 7 million. The ultimate goals of the project are to advance the accuracy of diagnostic imaging in cardiology and oncology and open up new fields in therapy planning, guidance, and response monitoring.

A hybrid PET/MR scanner could simultaneously deliver the anatomic and functional information achievable using state-of-the-art MR scanners (e.g., soft tissue contrast and physiologic processes in blood vessels) and the molecular imaging data provided by PET. As a result, it would combine the best of both worlds, which could ultimately help to pinpoint and characterize disease sites within the body more accurately than is currently possible.

For a hybrid scanner that offers simultaneous PET and MR image acquisition, two basic problems need to be solved: the development of MR-compatible PET detectors and a method of accounting for PET attenuation (the scattering of high-energy gamma rays generated by the PET tracers by parts of the human body).

The milestone that the HYPERImage team has reached is the development of a functional gamma-ray detector that meets the performance requirements of the latest time-of-flight PET scanners. The new gamma-ray detectors have been designed to be compatible with the strong static and dynamic magnetic fields that would be present in a combined PET/MR scanner. Furthermore, the team has achieved major progress with respect to MRI-based static and dynamic PET attenuation correction. Details of these results were presented at the IEEE Nuclear Science Symposium and Medical Imaging Conference, October 25-31, 2--9, in Orlando, FL, USA.

"Understanding the molecular mechanisms associated with cardiovascular disease and cancer, and the development of technologies focused on the early detection of these disease processes are the two main challenges of biomedical research,” said Prof. Dr. Valentin Fuster, director of the National Center for Cardiovascular Research in Madrid, Spain (one of Europe's leading research centers in cardiology) and the Cardiovascular Institute at the Mount Sinai Medical Center in New York, NY, USA. "I am convinced that the realization of a PET/MR technology platform will significantly help to improve the precision and the moment at which disease is diagnosed, two critical parameters for the successful treatment of many diseases.”

"The HYPERImage team's combined expertise in semiconductor physics, signal processing, and medical scanner design, together with its expert clinical knowledge, have moved the project an important step forward in the development of a new imaging tool that is intended to help clinicians diagnose and treat some of the world's most prevalent killer diseases, such as breast cancer,” said Henk van Houten, senior vice president of Philips Research and head of Philips' healthcare research program. "I am proud to say that proof-of-concept of an MR-compatible PET detector took the team less than 1.5 years to achieve. It clearly demonstrates that good collaborations lead to very fast progress.”

The HYPERImage consortium comprises three universities (King's College London, UK; Universität Heidelberg, Germany; and Universiteit Ghent-Institute for Broadband Technology, Belgium), three research foundations (Fundación Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain; Fondazione Bruno Kessler, Tento, Italy; and The Netherlands Cancer Institute, Amsterdam, The Netherlands), a university medical center (Uniklinikum Hamburg-Eppendorf, Germany) and the industrial partner (Philips, The Netherlands and Germany).

EU funding for the HYPERImage project, which is being provided as part of the EU's 7th Framework Program, amounts to around EUR 5 million. The consortium partners will provide an additional EUR 2.3 million. The project started in 2008 and will run for three years. Philips' leadership of the consortium is based on its
experience in designing and developing medical scanners.

Related Links:
Philips Healthcare


Portable Color Doppler Ultrasound Scanner
DCU10
Computed Tomography System
Aquilion ONE / INSIGHT Edition
New
Digital Intelligent Ferromagnetic Detector
Digital Ferromagnetic Detector
Ultrasound Table
Women’s Ultrasound EA Table

Print article

Channels

Radiography

view channel
Image: AI can identify “mammographically-visible” types of interval cancers earlier by flagging them at the time of screening (Photo courtesy of ScreenPoint Medical)

AI Improves Early Detection of Interval Breast Cancers

Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... 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 © 2000-2025 Globetech Media. All rights reserved.