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Applied Physics Seminar

Title
Magnetic Resonance Imaging, Iron, and Machine Learning:from brain connectivity to stem cell tracking  
Guest Speaker
Prof. Qun Zhao  
Guest Affiliation
Department of Physics & Astronomy, University of Georgia  
When
Friday, April 12, 2019 12:00 pm - 1:00 pm  
Location
CSP Conference Room (322)  
Details

Iron is an essential trace element involved in a variety of biological mechanisms, such as oxygen transport, protein synthesis, and mitochondria respiration, in a living human or animal body. As a contrast agent, iron greatly improves MRI sensitivity in detecting iron-related biological process, including imaging of brain connectivity and tracking of stem cells. To improve mapping of brain connectivity, novel machine learning techniques are used to further enhance neuroimaging sensitivity.

 

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