A new tool for medical professionals may help shed more light on tumours in the body and how the brain operates.
Purdue University, USA, researchers created technology that uses optical imaging to better help surgeons map out tumours in the body and help them understand how certain diseases affect activity in the brain. The work is published in the journal IEEE Transactions on Medical Imaging.
“We are using light to extract new information from tissue to inform doctors and assist them in designing and carrying out surgeries to remove tumours,” said Brian Bentz, a Purdue alumnus, who worked on the technology with Kevin Webb, a professor of electrical and computer engineering at Purdue.
“It is a localisation method where our technology helps the surgeon pinpoint precise information about the depth and location of tumours. Such information is not easily accessible with current technologies.”
The Purdue technology uses contrast in the absorption of light and fluorescent agents that are introduced into the body to find tumours and/or blood vessels within the tissue. The same technology can be used to study neuron activation in the brain, which can help doctors detect diseases such as Parkinson’s.
Bentz said the Purdue technology overcomes one of the major challenges with fluorescence imaging — the light becomes highly scattered and that limits the information that a surgeon receives.
“Our technology aims to provide more detailed information about tumours for surgeons and neuron activity in the brain, both of which can improve outcomes for patients,” Bentz said.
The innovators are working with the Purdue Research Foundation Office of Technology Commercialization to patent the technology.
Paper: Brian Z. Bentz, Sakkarapalayam M. Mahalingam, Daniel Ysselstein, Paola C. Montenegro, Jason R. Cannon, Jean-Christophe Rochet, Philip S. Low, Kevin J. Webb. Localization of fluorescent targets in deep tissue with expanded beam illumination for studies of cancer and the brain. IEEE Transactions on Medical Imaging, 2020; 1 DOI: 10.1109/TMI.2020.2972200
Source: Purdue University