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Professor Guang Lin Awarded Trask Innovation Funding

06-07-2021

Professor Lin was awarded $50,000 for his project entitled “MACHINE LEARNING DRIVEN CONTOURING SYSTEM FOR HIGH-FREQUENCY FOUR-DIMENSIONAL CARDIAC ULTRASOUND AND PHOTOACOUSTIC IMAGING

From the Trask Innovation Fund!

Guang Lin, College of Science and College of Engineering, and Craig J. Goergen, College of Engineering.

Lin and Goergen received $50,000 for "Machine Learning-driven Contouring System for High-frequency, Four-dimensional Cardiac Ultrasound and Photoacoustic Imaging." Lin is a professor of mathematics and mechanical engineering. Goergen is the Leslie A. Geddes Associate Professor of Biomedical Engineering.

Lin said the contouring system could be used by biomedical researchers using cardiac ultrasound and photoacoustic imaging systems. It improves upon traditional methods to identify boundaries within image data.

"Compared to manual techniques that can take up to an hour to process, large data sets from hundreds of timepoints and thousands of locations can be processed within seconds," Lin said.

Goergen said developing the innovative system requires building a larger image repository of a variety of diseases and continuing to improve the machine learning algorithms.

"Trask funding is crucial to support the students and postdoctoral fellows who will be working to move this project forward," Goergen said. "The funds will also benefit our commercialization efforts as we aim to partner with interested companies."

The Trask Innovation Fund awards funding to inventors who are prepared to move their innovations to market and is designed to advance the commercial potential of Purdue intellectual property through short-term research projects.

Trask Innovation Fund was established in 1974 by a gift from Verne A. Trask in memory of his wife, Ramoth Trask. The objective of Trask Innovation Fund is to support short-term projects that will enhance the commercial value of Purdue University intellectual property assets.

Congratulations Professor Lin!

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