Graduate Seminar Series: Clinical Stream
Graduate Seminar Series for the Institute of Biomedical Engineering (BME). This day is for clinical stream presenters.
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Presentation Title: Thermometry Prediction Using Artificial Intelligence on MR-guided Laser Interstitial Thermal Therapy Planning Images
Magnetic resonance-guided laser interstitial thermal therapy (MRgLITT) is a minimally invasive thermal therapy for drug-resistant focal epilepsy and brain tumors. In this approach, the surgeon needs to insert the laser fiber into the target along a fixed trajectory. Thermometry prediction using artificial intelligence (AI) modeling may help the surgeon determine whether the selected laser position is the ideal location to treat the tumor before starting the surgery, as both repositioning and predicting thermal spread close to heat sinks are difficult. I hypothesize that this data-driven approach will reduce planning time, minimize injury to other brain regions and maximize tumor treatment probability. Specifically, I will train artificial intelligence algorithms to model the nonlinear mapping from three-dimensional
anatomical MRI planning images to multi-slide thermometry time series (three-dimensional). By having the patients’ anatomical MRI, the surgeon will access the AI-based heat propagation distribution in predicted thermometry images to better choose the ideal laser position.
Supervisor Name: Dr. James Drake, Dr. Lueder Kahrs
Year of Study: 2
Program of Study: PhD
Zoom link: https://us02web.zoom.us/j/89610372821?pwd=azd4SCtYVWtreVovaGNPV1c2NGY2Zz09
Meeting ID: 896 1037 2821
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