April 9, 2020
Optical imaging technology may help surgeons better treat cancer, brain diseases
WEST LAFAYETTE, Ind. – A new tool for medical professionals may help shed more light on tumors in the body and how the brain operates.
Purdue University researchers created technology that uses optical imaging to better help surgeons map out tumors 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 tumors,” 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 localization method where our technology helps the surgeon pinpoint precise information about the depth and location of tumors. 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 tumors 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 tumors for surgeons and neuron activity in the brain, both of which can improve outcomes for patients,” Bentz said.
The researchers are looking for partners to continue testing and developing their technology. For more information on licensing and other opportunities, contact D.H.R. Sarma at OTC at firstname.lastname@example.org.
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Localization of fluorescent targets in deep tissue with expanded beam illumination for studies of cancer and the brain
Brian Z. Bentz, Sakkarapalayam M. Mahalingam, Daniel Ysselstein, Paola C. Montenegro,
Jason R. Cannon, Jean-Christophe Rochet, Philip S. Low and Kevin J. Webb
Imaging fluorescence through millimeters or centimeters of tissue has important in vivo applications, such as guiding surgery and studying the brain. Often, the important information is the location of one of more optical reporters, rather than the specifics of the local geometry, motivating the need for a localization method that provides this information. We present an optimization approach based on a diffusion model for the fast localization of fluorescent inhomogeneities in deep tissue with expanded beam illumination that simplifies the experiment and the reconstruction. We show that the position of a fluorescent inhomogeneity can be estimated while assuming homogeneous tissue parameters and without having to model the excitation profile, reducing the computational burden and improving the utility of the method.