HYPERImage Project Background Information

HYPERImage Project Background InformationAdvances in healthcare have been boosted by the constant improvement of medical imaging technologies - for example, in terms of sensitivity and resolution. Magnetic Resonance (MR) imaging, Positron Emission Tomography (PET) and Computed Tomography are now widely used in the diagnosis and staging of many different diseases, including cardiovascular diseases and cancer.

The main goal of the HYPERImage project is to demonstrate the diagnostic value of simultaneous PET/MR imaging. The project partners aim to contribute to significant improvement in the diagnosis of several diseases, and to help in providing a state-of-the-art imaging technology for future applications in biomedical and clinical research.

PET, the most sensitive molecular imaging modality, requires an additional modality such as CT to provide an anatomical reference for lesion localization. The integration of anatomical (CT) and functional (PET) imaging has proven itself as a standard clinical tool. However, PET/CT has its limitations, notably irradiation (X-ray) dose and reduced soft tissue contrast compared to MR imaging. Thanks to recent advances in the field, MR imaging can now be considered an improved alternative to CT. Like CT imaging, MR imaging can provide excellent human anatomical information, but it also offers superior soft-tissue characterization, excellent temporal resolution and a significant amount of functional information as well.

However, a combined PET/MR scanner can only provide accurate, reliable images when the two imaging modalities are optimally integrated into a single scanner. To this end, the HYPERImage project is investigating the following topics:

MR-compatible PET detector technology with excellent time resolution PET produces three-dimensional images of functional processes in the body - for example, the uptake of glucose that fuels metabolic activity. To do so, it detects pairs of gamma rays (high energy electromagnetic radiation) originating from a radioactive tracer, a small amount of which is injected into the patient prior to the scan.

The gamma-ray detectors used in current PET scanners are based on vacuum photomultiplier tubes that do not function well in the strong electromagnetic fields found in an MR scanner. The HYPERImage project will particularly focus on reducing the mutual interference between PET and MR data measurements to a level that allows undisturbed image acquisition with both modalities at the same time.

The technical breakthrough behind the team's development of an MR-compatible gamma-ray detector is the development of a new solid-state, scalable and compact digital detector technology. This technology is based around silicon photomultiplier arrays that offer the desired sensitivity, energy resolution and timing resolution required for time-of-flight PET measurements, and that feature integrated digital read-out electronics.

To increase the effective sensitivity, and to reduce the scan-time and dependence of sensitivity on patient size, the detector has been designed to support time-of-flight PET measurements with extremely short coincidence time resolution. In time-of-flight PET scanners, not only the direction of the gamma ray paths is measured but also the difference in time it takes the pair of gamma rays generated by the PET tracers to reach the detector. This time difference measurement substantially increase the precision with which the tracer can be localized. Time-of-flight measurements increase the effective sensitivity by a factor 10 compared to standard systems.

The silicon photomultiplier array's integrated digital read-out electronics contain a low-jitter and low-power signal acquisition unit. Low power consumption is an essential requirement when preparing the technology for integrated whole body scanning applications.

Hybrid PET/MR test systems
The HYPERImage project aims to develop two PET/MR test systems in order to investigate the technical and pre-clinical/clinical feasibility of simultaneous PET/MR. Initially, a pre-clinical system will be constructed, both to guide further development towards a clinical test system and to test simultaneous PET/MR under pseudo-clinical conditions.

Dynamic PET/MR motion, attenuation and functional data acquisition techniques
The longer acquisition times for PET mean that the structures being imaged typically move during the scan - for example, as the patient breathes. This results in significant blurring of the image. Monitoring of the exact position of the relevant organs using the MR imaging could be used to significantly reduce motion-induced PET image blurring.

The HYPERImage project therefore aims to develop acquisition and data processing techniques that will enable MR monitoring of patient motion. These will be used to correct the PET data for the effects of patient motion. The MR data may also enable the PET data to be corrected for the effects of attenuation (the scattering of high-energy gamma rays generated by the PET tracers by parts of the human body).

Such an attenuation correction is required to obtain quantitative PET images with the hybrid system. MR acquisition sequences will be developed in such a way that the PET correction data is acquired along with complementary functional MR data. These techniques will be evaluated in phantom studies and subsequently in pre-clinical studies.

PET/MR investigations towards cancer and cardiovascular diseases The HYPERImage project aims to validate the improvement in diagnostic efficacy gained with motion compensation and MR-based attenuation correction during concurrent PET/MR, and compare this with conventional PET/CT and MR. The registration of (f)MRI features (e.g. vascular physiology) will be correlated with values obtained with PET in order to improve the early detection, staging, and response monitoring of cancer, atherosclerosis and myocardial infarction.

Furthermore, the HYPERImage project aims to assess the advantages of concurrent imaging during dual-agent injection studies. Its pre-clinical investigations have to demonstrate the added diagnostic value of the PET/MR animal insert that it is developing, which will contribute to the fine-tuning of a system ready for clinical validation.

HYPERImage consortium
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, Spain; Fondazione Bruno Kessler, Italy; and The Netherlands Cancer Institute, The Netherlands), a university medical center (Uniklinikum Hamburg-Eppendorf, Germany) and the industrial partner (Philips, The Netherlands and Germany).

For further information, please visit:
http://www.hybrid-pet-mr.eu

Related news articles:

Most Popular Now

Philips and Medtronic Advocacy Partnersh…

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, and Medtronic Neurovascular, a leading innovator in neurovascular therapies, today announced a strategic advocacy partnership. Delivering timely stroke...

New AI Tool Predicts Protein-Protein Int…

Scientists from Cleveland Clinic and Cornell University have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat with medication. The computational tool...

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...