The future of PET/CT
The next generation of PET/CT

The future of PET/CT
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Our research progress

To reach our vision to see—and quantify—a whole new world of detail, we believe it is not enough to simply focus on a single system component. We must innovate in multiple areas, so that a real clinical impact can be achieved. That’s why we are focusing our efforts on:

Sensitivity: Wouldn’t it be valuable to expand the footprint of PET in cancer staging to create a greater impact in areas such as breast and prostate cancer diagnosis? By listening to expert opinions in the industry, we are researching improvements in spatial resolution, temporal resolution and overall system performance.

Specificity: What if it were possible to have more precise information about a disease state to help guide treatment decisions? For example, clinical experts say that motion management is mandatory in cardiovascular imaging because it may help to enable insights into additional structures such as valves or plaques in coronary arteries. By focusing our research efforts on improvements and advances in motion management, such as dynamic and motion-free imaging, our goal is to develop systems that provide the additional information needed to help determine the most appropriate course of treatment.

Quantification: What if the role of PET could be expanded in therapy monitoring and as an end-point in clinical trials? By evaluating new absolute quantitative measurements, we aim to provide more accurate and reproducible clinical information to improve patient care. Experts believe that one day it may be possible to reduce, or even solve the challenges faced when assessing response to therapy.

To learn more about our research progress, view the following abstracts from the Society of Nuclear Medicine and Molecular Imaging webpage:

Impact of Respiratory Motion Compensation on PERCIST classification of Lung and Liver metastases in PET ImagingJ.G. Meier, J. Hamill, J.P. Jones, I. Hong, O.R. Mawlawi
Respiratory Motion Compensation in PET/CT: Evaluation of a Fast Elastic Motion Compensation Technique Based on Motion DeblurringStefanie Pӧsse, Inki Hong, Dirk Mannweiler, Florian Buther, Judson Jones, Michael Schäfers, Klaus Schäfers
The Effects of Time-of-Flight and Point Spread Function Modeling on Regional Myocardial Blood Flow for Dynamic 82Rb PET of Large PatientsPaul K.R. Dasari, Judson P. Jones, Michael E. Casey, Vasken Dilsizian, and Mark F. Smith
A Second Generation SiPM Based PET/CT System1Michael Casey, Ziad Burbar, Harold Rothfuss, Vladimir Panin, Deepak Bharkhada
Data Driven Motion Amplitude Characterization and Optimal Bin Determination in 4D PET – Realizing PersonalizedAdam Kesner, Joseph Meier, David Lynch, Darrell D. Burckhardt
Automated Respiratory Phase Matching in PET/CT Using Fast Spiral CTJames Hamill, Joseph Meier, Osama Mawlawi
Impact of Elastic Motion Correction on Quantitation and Image Quality of Whole-Body PET/CTJ.G. Meier, J. Hamill, J.P. Jones, I. Hong, O.R. Mawlawi
Anatomy and Emission Based Non- Local Means Filtering for MR-PET and PET-CT DataG. Bal, F. Kehren, W. Howe, M. Fenchel, V. Panin
Comparison of manual versus semiautomatic quantification of skeletal tumor burden on 18F-Flouride PET/CTAna E Brito, MD1, Allan O. Santos, MD PhD, Camila Mosci, MD, Tiago F. Souza, MD, Paulo F. Oliveira, Barbara Amorim, MD PhD, Mariana Lima, MD PhD, Celso D. Ramos, MD PhD, Elba Etchebehere, MD PhD


1This product is still under development and not commercially available yet. Its future availability cannot be guaranteed.