Title: ACM Seminar: Tomography and Optimization Using Monte Carlo
Speaker: Zachary Levine, NIST Quantum Measurement Division
Date: May 14, 2020
Summary:
NIST researcher Zachary Levine will present a seminar on advances in tomography and optimization using Monte Carlo methods. The talk will cover recent progress in defining the Hounsfield unit, a key parameter in medical imaging, through a NIST BTF program. Levine will discuss the intrinsic dimensionality of x-ray image spaces and efficient scatter correction algorithms.
The seminar will also feature a rapid algorithm for determining optical scattering parameters, serving as a warm-up problem for tomography. Looking ahead, Levine will present ongoing work in diffraction-based microtomography.
Biography:
Zachary Levine is a physics graduate of MIT and the University of Pennsylvania. He joined NIST in 1994 as part of the High Performance Computing and Communications initiative. Since 2018, he has been part of the Quantum Measurement Division, splitting his time between Quantum Optics and Microtomography research. Levine is an APS Fellow and has received two Bronze Medals and one Silver Medal for his work at NIST.
Source: https://www.nist.gov/itl/math/acmd-seminar-tomography-and-optimization-using-monte-carlo
Keywords: image space, computational burden, scattering parameters
