Molecular Imaging Detectors, Systems, and Software
Cubresa, the PET insert company, designs and manufactures Positron Emission Tomography (PET) detectors, systems and software.
This technology has the sensitivity to detect radiotracer concentrations in vivo without depth limitations, and can be paired with an anatomical imaging modality such as Magnetic Resonance Imaging (MRI) to non-invasively visualize and quantify radiopharmaceutical concentrations in living subjects.
We are expert in the application of Silicon Photomultiplier (SiPM) technology in molecular imaging applications. SiPMs replace traditional photomultiplier tubes with chip-based sensors that provide exceptional image quality as well as an ultra-compact form factor, and they allow integration with Magnetic Resonance Imaging (MRI) scanners without unwanted side-effects. Cubresa’s SiPM-based detectors are coupled with custom engineered, low noise readout electronics, high performance analog to digital conversion, and sophisticated imaging processing algorithms to deliver exceptional image quality, sensitivity and spatial resolution.
Cubresa’s in-bore PET scanning technology, utilized in the NuPET™ product line, combines high-resolution PET rings, MR-compatible detectors and RF-quiet electronics to deliver unique hybrid PET/MR imaging capabilities. Specialized scintillator designs and software processing provides depth of interaction (DOI) corrections to improve spatial resolution uniformity over the entire field of view.
Cubresa’s molecular imaging technologies are highly scalable, and can be used to develop scanners of various sizes and geometries for research and clinical application.
General Information - Publications
Van Elburg D, Shrestha R, and Goertzen AL. Towards a second-generation PET/MR insert with enhanced timing and count rate performance. Physics in Medicine and Biology. 2019 Mar 12. doi: https://doi.org/10.1088/1361-6560/ab0efa
Goldenberg JM, Cárdenas-Rodríguez J, Pagel MD. Preliminary Results that Assess Metformin Treatment in a Preclinical Model of Pancreatic Cancer Using Simultaneous [18 F] FDG PET and acidoCEST MRI. Molecular Imaging and Biology. 2018 Aug 1;20(4):575-83. doi: https://doi.org/10.1007/s11307-018-1164-4
Shams E, Thiessen JD, Bishop D, Kozlowski P, Retière F, Sossi V, Stortz G, Thompson CJ, Goertzen AL. A PET Detector Interface Board and Slow Control System Based on the Raspberry Pi®. In 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC). 2013 Oct 27 (pp. 1-3). doi: https://doi.org/10.1109/NSSMIC.2013.6829202