In this video, Justin Baba from the University of Tennessee and Oak Ridge National Laboratory describes how HPC transforms medical diagnostic imaging.
“High performance computing resources from the National Institute for Computational Sciences (NICS) are helping Justin Baba overcome an obstacle in his research on the behavior of light in turbid media. The aim of Baba’s studies is to provide supporting detail for findings that pertain to how light scatters or is absorbed in turbid media such as biological tissue. The knowledge gained could allow for non-invasive scans of suspect skin lesions for melanoma that reveal the characteristics of tissues beneath the surface.”
Baba describes his work further in a recent case study over at NICS:
“A lot of studies have been published on the impact of detecting or tracking the polarization of photons,” Baba says. “But there isn’t much understanding of what is actually occurring as these photons are scattering and propagating through the media. We have captured step by step what is taking place at each scattering event and the effects on the photons’ properties due to a scattering event. So we are able to elucidate what is already out there in the literature.”