Revealing Microscopic Abnormalities in Brain Structure & Function
InnovisioN provides a cloud based statistical reporting system that locates and quantifies abnormalities in the brain. Innovision does so by comparing an individual's brain to that of thousands of age and gender matched normal controls using third party scanning partners all across the globe.
Global Leaders in the Detection of Brain Injuries
InnovisioN provides a cloud based statistical reporting system that locates and quantifies abnormalities in the brain. InnovisioN does so by comparing an individual's brain to that of thousands of age and gender matched normal controls using third party scanning partners all across the globe.
In doing so, InnovisioN provides clinicians with the advanced tools needed to better treat patients, as well as providing legal professionals with the information needed to best represent clients in a court of law. InnovisioN uses magnetic resonance imaging (MRI) and magnetoencephalography (MEG) scans to reveal these structural and functional brain abnormalities.
Utilising high-performance computers and proprietary algorithms for analysis.
Compares individual brain scans to thousands of age and gender-matched controls.
Reports generated within seven working days from any 3T MRI scanner globally.
Over 1,000 medico-legal reports provided for various brain injury cases.
Collaborations with University of Oxford and University of Kent for ongoing research.
Testimonials, News, & Press
In July 2010, James Cracknell OBE, double olympic gold medalist and winner of six world championships was hit by a truck from behind whilst cycling in an endurance race across America. This is his story, and his experience working with InnovisioN.
Peter Schwabach, CEO, and Abby Saks, Head of Business Development, sit down to discuss who InnovisioN is and what we do. To see more of us in the Press, check out our feature on the BBC by clicking HERE.
Innovision IP and the University of Kent have a Knowledge Transfer Partnership (KTP) through Innovate UK, which has produced exciting research. Our latest publication is The Bayesian Inference General Procedure for A Single-case Test Study (BIGPAST) in the Journal of Neuroscience Infomatics, 2025 https://doi.org/10.1016/j.neuri.2025.100195
Our second KTP publication, Detecting Mild Traumatic Brain Injury with MEG Scan Data: One-vs-K-Sample Tests, is forthcoming and in pre-publication: https://arxiv.org/abs/2502.04258
Our IUK Statistical Research Associate, Jie Li, has also recently undertaken a major and impressive work, converting the Dynamic Causal Modelling (DCM) from MATLAB to Python. DCM is part of the SPM software in MATLAB and he has successfully translated the corresponding MATLAB code for both DCM for fMRI and DCM for MEG and EEG.
As a company comprised of working and active academics, our team members are also responsible for publishing hundreds of articles in the field of brain analysis and statistics. To learn more about their individual contributions to the field, see below:
Professor Gary Green Publications
Dr. Andre Gouws Publications
Dr. Sarah Carr Publications
Professor Jian Zhang Publications
Dr. Jie Li Publications
Diffusion Weighted Imaging
Our diffusion weighted imaging scans evaluate the way that water diffuses within the brain in an applied external magnetic field. These scans provide information about the integrity of the white matter tracts that connect different parts of the brain. We take this highly sensitive tool and add greater specificity to it by measuring an individual's results versus that of age and gender matched controls while gathering data along the length of the tract to reveal localized damage, not just a mean value.
MEG Brain Wave Analysis
InnovisioN evaluates the functionality of the brain by assessing wave lengths through MEG. Much like an EEG, an MEG is a very powerful scanner that reveals the presence of unusual brain wave activity, such as areas with unusually slow or fast delta and gamma waves. As with our structural scans, our functional work is conducted against a large cohort of normal age- and gender- matched controls. InnovisioN's statistical breakthroughs in this space are revolutionizing the way brain function is assessed. For more on this work, please see the Publications section.
Cortical Myelin Analysis
Our cortical myelin scans look at the chemistry of the brain's tissue and the amount of myelin lipid within different cortical areas. In doing so, we are able to provide information about the integrity of the microarchitecture of the brain's cortex. We map this damage according to functional groups (Yeo et al) to show how the brain's processing matter is affected by structural abnormalities.
Cortical Thickness Review
Lastly, InnovisioN maps the areas of damage to the cortex's wall. This type of scan provides a potential indication of inflammation or of neurodegeneration. Likewise, these scans are conducted against age- and gender-matched normal controls. While only 1 out of 15 people with brain trauma has changes to cortical thickness, this can be an important measure for assessing structural damage.
The InnovisioN Product Portfolio
InnovisioN offers a diverse product suite to meet the needs of clients. From one page summary reports, which help to confirm or deny the presence of brain abnormalities, to one-hundred page reports, which provide the full statistical analysis of the structural and functional findings, InnovisioN has a tailored solution readily on hand.
Our Team
Peter Schwabach
CEO & Co-Founder
Peter is a former Goldman Sachs investment banker, award winning private equity fund manager, technology company founder, and CEO. He brings 40 years of financial and commercial experience to Innovision and is a graduate of Oriel College at the University of Oxford.
Professor Gary Green
CSO and Co-Founder
Gary is the co-founder of Innovision IP and was the founding director of the York Neuroimaging Centre, The York Diagnostic Imaging Centre, and the Centre for Hyperpolarisation in MRI. Professor Green has published over 150 articles and holds the degrees of MA, DPhil, BM, and BCh from the University of Oxford.
Dr. Andre Gouws
CTO
Andre is a career scientist who attended medical school, graduated as a physiological scientist, and has pursued a career in neuroscience and neuroimaging. He develops research methods and publishes widely in the field. Until recently, he ran the York Neuroimaging Centre, where is now the Lead Technical Specialist in situ.
Abby Saks
Head of Business Development
Abby is an experienced corporate strategist, with many years of industry experience working in startups. Prior to this, she had a career in Corporate Finance, which started at GE Capital where she was a member of their prestigious FMP Program. Abby received her MSt from the University of Oxford and graduated Summa Cum Laude from Hamilton College, USA.
Wade Newmark
Head of Finance
Wade is an owner and operator of 6 care homes in the UK. He has over 35 year of experience as both an investor and advisor in a wide range of Asset Backed businesses. Wade has considerable experience in bridging the gap between government and private enterprise. Wade holds an MBA from the Wharton School, USA and a BA from the University of Oxford.
Dr. Sarah Carr
Customer & Operations Manager
Working in imaging analysis and customer support, Sarah completed her PhD in MRI Physics and was a Research Fellow at King's College London. Sarah heads the operational coordination for Innovision, working with 3rd party scanning facilities and clients to ensure the scanning and scheduling of those most in need.
Professor Jian Zhang
Research Partner
Professor Zhang has been the Chair of Statistics at the University of Kent since 2010. Previously, he was a Research Professor of Statistics at the Chinese Academy of Sciences in Beijing and a Chair Professor of Statistics at the University of York. He specialises in machine learning, computational biology, and neuroimaging. Jian is the Research Partner of Innovision's Innovate UK KTP partnership with the University of Kent.
Dr. Jie Li
Research Associate
Jie is Innovision's Innovate UK KTP Research Associate, specialising in statistical data analysis and machine learning. Previously, Jie was a Research Officer focused on change-point detection via deep neural network at the London School of Economics and Political Science. Jie completed a PhD in Statistics at the University of Kent.
Trusted Partners
Scanning Locations
Contact Us
Innovision IP Ltd, Culham Innovation Centre, D5 Culham Science Centre, Abingdon, Oxfordshire, OX14 3DB
+44 (0) 1865 306286
