Clinical metabolic magnetic resonance imaging
Kofi Deh, Medical Physics at Howard University
Talk Abstract: Spin hyperpolarization can increase the signal-to-noise ratio in magnetic resonance imaging (MRI) by a factor of 10,000, making it possible to perform metabolic imaging for early cancer detection. In this talk, we will look at the motivation for metabolic imaging, the physics of hyperpolarization and the technical considerations required for MRI of hyperpolarized X-nuclei. We will also look at practical considerations for translating this technology into the clinic. Finally, we will briefly examine other candidates for MR metabolic imaging that have less complexity than hyperpolarized MRI.
Speaker Bio: Kofi Deh is currently an Assistant Professor in Medical Physics at Howard University. He was trained as a magnetic resonance imaging physicist with a focus on quantitative susceptibility imaging of contrast agents. Prior to his appointment at Howard, he worked on clinical translation of hyperpolarized carbon-13 magnetic resonance imaging at Memorial Sloan Kettering Cancer Center. His current interest is the application of machine learning to acquisition and post-processing of high-resolution metabolic MR images.
Host: Harsh Mathur