A new advanced imaging system for brain surgery

The EU funded project HyperProbe

24 January 2023

Emoled is partner of the HyperProbe European Consortium that will develop a novel cost-effective, transportable, compact optical imaging system (“HyperProbe”) to measure brain function during surgery to achieve better guidance during brain tumour removal by 2027.

More than 13 million patients require brain surgery every year. Measuring brain function is paramount during neurosurgery, for example, when removing brain tumours. Neurosurgeons need to differentiate between healthy tissue and the tumour and ensure the integrity of the patient’s brain function during and after surgery. Also, they need to identify tumour borders to precisely remove the tumour while saving healthy tissue. To accomplish their task and increase treatment effectiveness, surgeons require neuro-navigation systems to provide them with quantitative, accurate and real-time information on brain activity and tumour location. Current navigation approaches present major limitations as they do not provide the surgeons with sufficient information, are too invasive, or cannot assess brain activity accurately enough. Moreover, biochemical characterisation of the tumour is needed for more precise tumour border detection, which can be achieved through advanced imaging.

Therefore, the HyperProbe consortium will build on laboratory-based devices to be translated into a clinical setting. The consortium will propose a new multifunctional hyperspectral imaging device to provide real-time, quantitative, and accurate assessment of brain activity and tumour borders intraoperatively. Using an optical, contactless, and hence minimally invasive neuroimaging approach, the device will provide exhaustive biochemical information on the brain tissue and tumour features during surgery and cortical activity stimulation. “The HyperProbe system will illuminate the exposed brain with non-ionising light and measure the reflected and fluorescent signals from the brain tissue intraoperatively”, explains Francesco Pavone, Project Coordinator from the University of Florence. “Tailored machine learning and artificial intelligence algorithms for image analysis will identify biomarkers of brain activity in the targeted area. It will then deliver this information to the clinician in real time via augmented reality”, he adds.

The project will develop and validate a cost- effective, transportable, and easy-to-use device to be integrated with existing clinical instrumentation that is fully suitable for the operating room. “Within HyperProbe, we will carry out feasibility studies to assess the performance of the HyperProbe device on patients. We will validate the imaging performance and brain activity measurements during brain tumour surgery. This observational, proof-of-concept analysis will pave the way for bringing this highly promising new tool to the clinics”, states Camilla Bonaudo, Careggi University Hospital.

The project will significantly impact clinical practice as the consortium proposes, for the first time, a functional-imaging and machine-based decision-making approach in neurosurgery. The HyperProbe device will be the first multi-biomarker, quantitative optical imaging device and functional imaging device used in image-guided surgery to preserve brain functions and minimise the risk of postoperative neurological impairment and considerably improve the life expectancy of patients.

To achieve their ambitious goal, the HyperProbe consortium brings together engineers, physicists, computer scientists, neurologists, and neurosurgeons from eight institutions and industrial partners from across Europe : Università degli Studi di Firenze (IT), Emoled (IT), Technische Universität München (DE), Université Lyon 1 Claude Bernard (FR), Centre National de la Recherche Scientifique (FR), Azienda Ospedaliera Universitaria di Careggi (IT), Istituto europeo per la ricerca di imaging biomedico (AT), Hospices Civils de Lyon (FR), University College London (UK).

The HyperProbe project receives funding from the European Union’s Horizon Europe research and innovation programme (grant agreement No 101071040).

To know more visit the project website: https://hyperprobe.eu/