Most medical imaging devices - X-rays and CT scans, for example - use radiation to peer into the human body to produce images and other data that can help care providers arrive at a clinical diagnosis. But there are health risks associated with too much exposure to radiation, even in a clinical setting. Though researchers are developing new technologies and techniques to build low-radiation diagnostic tools, which are safer for both patients and clinicians, there remain major challenges associated with improving the quality and sensitivity of these tools. This lecture will address these challenges and provide an overview of new technologies - including some currently in development at the UC Santa Cruz Radiological Instrumentation Laboratory - as well novel data acquisition methods and artificial intelligence techniques that can be used to improve the quality of the images and data produced by low-radiation medical imaging devices.
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