Gold Standard Phantoms is a dynamic spinout company from the renowned University College London's Institute of Neurology. Our mission is to revolutionize the field of medical imaging by bridging the gap between pattern recognition and precise scientific measurement. Through strategic collaborations with clinicians, radiographers, radiological societies, imaging manufacturers, pharmaceutical companies, and regulatory bodies, we provide an all-encompassing solution for maintaining standards in quantitative medical imaging.
Our vision is clear - to become the global leader in delivering calibration services for clinical quantitative medical imaging. We are dedicated to empowering the healthcare industry with cutting-edge calibration solutions, enabling medical imaging to transition from subjective pattern recognition to a robust, quantitative, and reproducible scientific measurement methodology.
With unwavering commitment to excellence, innovation, and collaboration, we are at the forefront of driving advancements in quantitative medical imaging. Our team of experts works tirelessly to ensure that healthcare professionals and researchers worldwide have access to reliable calibration services that elevate the accuracy and reliability of their imaging results.
Join us on this transformative journey as we redefine the future of medical imaging. Together, we can unlock new dimensions of precision and standardization in the field, ultimately improving patient care and advancing medical knowledge.
Prof. Xavier Golay
Xavier is a former Professor of MRI Physics at UCL since June 2023, and is a world-renowned MRI specialist with nearly 30 years’ experience in R&D in the field of MRI, from new imaging techniques to the development of contrast agents. Xavier co-founded both Imgenious and Gold Standard Phantoms together with Aaron and Tom and he recently took the helm of GSP full time, after 15 years at UCL. his role is to oversee the whole operation at GSP and in particular to help to provide the support and network necessary to such a small enterprise. Xavier currently retains an honorary appointment with UCL.
Dr. Aaron Oliver-Taylor
Aaron is an MRI physicist with close to 15 years experience working in MRI. He holds a Ph.D. in MRI physics from University College London, and prior to founding GSP built all manner of MRI related hardware, from RF coils and transmitter systems to MR compatible physiological monitoring systems. Whether it is cooking up new phantom formulations in the wet lab, soldering a circuit board, or writing some image analysis code, he likes to be as hands-on as possible. As Chief Technical Officer, Aaron drives forward technological development within GSP; leading R&D of new products, improving current ones, managing scientific collaborations, as well as juggling production, operational and customer-facing activities.
Dr. Tom Hampshire
Tom provides GSP with expertise in computational research and software development having completed his BSc in Computer Science at the University of Manchester and receiving an MRes and PhD in Medical Imaging Computing at University College London. As Chief Information Officer, he oversees development of the computational aspects of GSP’s technologies, in addition to supporting the IT infrastructure within the organisation.
Gold Standard Phantoms was founded following an award of £100k from SBRI.
Stage 2 Grant Award
Gold Standard Phantom was awarded another grant of £1M from SBRI.
Innovate UK Grant Award
Gold Standard Phantoms was awarded a grant of £270k from Innovate UK.
Gold Standard Phantoms secured an additional £840k in private investment.
Innovate UK Funding
Gold Standard Phantoms Limited received funding of £100k from Innovate UK as part of the “Precision Medicine” competition.
Gold Standard Phantoms were awarded a £150k grant from Innovate UK’s ‘Analysis for Innovators’ competition.
Gold Standard Phantoms are part of the ASPIRE, three year-long project with a total budget of €2.3M, co-funded by the EUREKA member countries and the European Union Horizon 2020 Framework Programme.
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