HSI Neuro Phantom
Research type
Research Study
Full title
Neurosurgery phantom for hyperspectral imaging
IRAS ID
244847
Contact name
Neil Kitchen
Contact email
Sponsor organisation
University College London
Duration of Study in the UK
1 years, 6 months, 0 days
Research summary
Successful neurosurgery to remove brain tumours depends on achieving maximal safe tumour removal; avoiding damaging sensitive areas that undertake vital functions and preserving crucial nerves and blood vessels. However, even with the most advanced current techniques, it is not always possible to identify critical structures during surgery and the identification of tumour tissue is still based on surgeons’ subjective visual assessment.
Optical imaging is the use of light as an investigational imaging technique and provides a promising solution for visualising different tissue types during surgery. Optical imaging has the advantage of being non-invasive and does not emit any harmful x-radiation that may harm the tissues. Hyperspectral imaging is a hybrid modality that combines two types of optical imaging and generates a three-dimensional dataset of the imaged area. Hyperspectral imaging has the potential to enhance intraoperative tissue characterisation but requires further validation before clinical translation is realised. This study aims to develop an anatomically accurate phantom brain tumour model to test state-of-the-art hyperspectral imaging camera systems.
We will utilise our group’s extensive expertise to create anatomical models of different heads with a variety of brain tumours. In addition to being anatomically accurate, each component of the model will possess the same optical properties as its corresponding human tissue. We will validate our phantom models by using current hyperspectral imaging camera systems comparing phantom imaging results with images of corresponding human tissue.
The product of this study will be an anatomically accurate optical phantom model for neurosurgical use. This research will enable the development of more advanced hyperspectral imaging systems and has the potential to transform how neurosurgery is performed, resulting in safer and more effective neurosurgery.
REC name
London - West London & GTAC Research Ethics Committee
REC reference
18/LO/1004
Date of REC Opinion
5 Jun 2018
REC opinion
Favourable Opinion