Multimodal Vascular Imaging

Multimodal Vascular Imaging

Engineering better images

Finding opportunities to teach the laws of physics to a machine-learning algorithm as it learns to create a medical image is a new and exciting research topic.

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A PET image of hindlimb ischemia

Researchers use standard ultrasonic equipment to gather information about the force of a probe on the skin and the shape and deformation of the tissue below the probe. It’s entered into a unique combination of standard engineering tools, finite-element algorithms, and artificial neural networks. They work together to learn the mechanical properties of a patient’s tissues. Mechanical property changes are often the first sign of health problems such as infections and cancers.

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Group leader

  • Michael Insana

Latest news

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    Research team picktured: from left, bioengineering professor Lawrence Dobrucki, postdoctoral fellow Jamila Hedhli, biochemistry professor Auinash Kalsotra, graduate student Sushant Bangru, research scientist Chaitali Misra and graduate student Kin Lam.