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Title: 3D reconstruction of the magnetic vector potential using model based iterative reconstruction

Lorentz transmission electron microscopy (TEM) observations of magnetic nanoparticles contain information on the magnetic and electrostatic potentials. Vector field electron tomography (VFET) can be used to reconstruct electromagnetic potentials of the nanoparticles from their corresponding LTEM images. The VFET approach is based on the conventional filtered back projection approach to tomographic reconstructions and the availability of an incomplete set of measurements due to experimental limitations means that the reconstructed vector fields exhibit significant artifacts. In this paper, we outline a model-based iterative reconstruction (MBIR) algorithm to reconstruct the magnetic vector potential of magnetic nanoparticles. We combine a forward model for image formation in TEM experiments with a prior model to formulate the tomographic problem as a maximum a-posteriori probability estimation problem (MAP). The MAP cost function is minimized iteratively to determine the vector potential. Here, a comparative reconstruction study of simulated as well as experimental data sets show that the MBIR approach yields quantifiably better reconstructions than the VFET approach.
 [1] ;  [2] ;  [3] ;  [4] ;  [1]
  1. Carnegie Mellon Univ., Pittsburgh, PA (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. Argonne National Lab. (ANL), Lemont, IL (United States)
  4. Purdue Univ., West Lafayette, IN (United States)
Publication Date:
Report Number(s):
Journal ID: ISSN 0304-3991; 136121
Grant/Contract Number:
AC02-06CH11357; AC52-07NA27344
Accepted Manuscript
Journal Name:
Additional Journal Information:
Journal Volume: 182; Journal Issue: C; Journal ID: ISSN 0304-3991
Research Org:
Argonne National Lab. (ANL), Argonne, IL (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22), Materials Sciences and Engineering Division; National Science Foundation (NSF); USDOE
Country of Publication:
United States
36 MATERIALS SCIENCE; Lorentz microscopy; Model based iterative reconstruction (MBIR); Phase shift; Vector field electron tomography (VFET); 97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; 42 ENGINEERING
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1411706