Print Email Facebook Twitter No-Reference Weighting Factor Selection for Bimodal Tomography Title No-Reference Weighting Factor Selection for Bimodal Tomography Author Guo, Y. (TU Delft ImPhys/Quantitative Imaging) Rieger, B. (TU Delft ImPhys/Quantitative Imaging) Contributor Hayes, Monson (editor) Ko, Hanseok (editor) Date 2018 Abstract Bimodal tomography introduces a weighting factor α to incorporate X-ray data into projection images acquired from scanning transmission electron microscope (STEM) for achieving an atom-specific three-dimensional (3D) reconstruction of an object on the nanoscale. Currently its value is chosen by computing reconstructions for a large range of αin(0,1) and comparing them to a hand-segmented ground truth with the mean square error (MSE). Since this is infeasible for an industrial application, in this paper we propose an image quality metric to quantify the quality of tomograms in terms of cross-atomic contamination and noise for selecting the weighting factor without a ground truth. Numerical results demonstrate that our framework can determine close-to-optimal weighting factor within an accuracy of pm 0.03. Moreover, approximating the shape of the minimum by a parabola effectively reduces the computational time by 90%. Subject Bimodal tomographic reconstructionImage quality assessment To reference this document use: http://resolver.tudelft.nl/uuid:93e579e1-0beb-4bdc-9e15-25977cc495f8 DOI https://doi.org/10.1109/ICASSP.2018.8461828 Publisher Institute of Electrical and Electronics Engineers (IEEE) ISBN 9781538646588 Source 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings, 2018-April Event 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018, 2018-04-15 → 2018-04-20, Calgary Telus Convention Center (CTCC), Calgary, Canada Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type conference paper Rights © 2018 Y. Guo, B. Rieger Files PDF guo.pdf 715.21 KB Close viewer /islandora/object/uuid:93e579e1-0beb-4bdc-9e15-25977cc495f8/datastream/OBJ/view