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A sensor arrangement optimization method for volumetric tomography: effective voxel correction maximization (EVCM)

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Abstract

This work reports the development and validation of a new imaging sensor arrangement optimization method for volumetric tomography, namely effective voxel corrections maximization (EVCM). Different from past optimization approaches that only studied the influence of sensor orientations on the reconstruction accuracy, the EVCM method considers the impact of both sensor orientations and measured target distribution. Combining all recorded target projections, the EVCM first determines the number of effective voxels, indicating the voxels that participate in tomographic calculation. The method then calculates the number of corrections that modifies the value of effective voxels within a single reconstruction iteration step. The ratio between numbers of corrections and effective voxels (RE) is established as a new criterion for the sensor arrangement optimization to achieve improved reconstruction accuracy. Both numerical simulations on signal phantoms and controlled experiments on lab-scale flames are employed to validate the EVCM. Comparisons between EVCM and other sensor arrangement optimization methods are also performed based on the 3D reconstructions both numerically and experimentally. Results show that EVCM turns out to be a more accurate way to decide the optimal arrangements specified for different 3D targets.

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Data availability statement

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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Funding

This work is supported by Natural Science Foundation of Beijing (3222041), National Natural Science Foundation of China (51906017), and State Key Laboratory of Engines, Tianjin University (K2021-07).

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Authors and Affiliations

  1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China

    Yu Gao, Chen Ling, Yue Wu, Haiyan Chen & Haifeng Wu

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  1. Yu Gao
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  2. Chen Ling
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  3. Yue Wu
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  4. Haiyan Chen
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Contributions

YW has proposed the main idea. YG and CL have performed the simulation and experiments’ calculations. HC and HW both contributed to the writing and discussions of the manuscript, and analyzing the results. Thorough checking of the paper was done by all authors.

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Correspondence to Yue Wu.

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Gao, Y., Ling, C., Wu, Y. et al. A sensor arrangement optimization method for volumetric tomography: effective voxel correction maximization (EVCM). Appl. Phys. B 128, 173 (2022). https://doi.org/10.1007/s00340-022-07896-7

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