Weighted Filtered Back-Projection for Source Translation Computed Tomography Reconstruction

Chen J, Yu H, Ni S, Liu C, Ge W, Huang Y, Liu F (2023)


Publication Type: Journal article

Publication year: 2023

Journal

Book Volume: 72

Article Number: 4506409

DOI: 10.1109/TIM.2023.3306830

Abstract

Micro-computed tomography (micro-CT) is an indispensable tool to provide attenuation-based, high-resolution 3-D images in scientific research. However, its current available configuration limits the size of objects that can be imaged. Previously, we have proposed a multiple source translation computed tomography (mSTCT) imaging geometry to extend the field-of-view (FOV) of micro-CT, and developed a corresponding reconstruction algorithm called virtual projection-based filtered back-projection (V-FBP). V-FBP achieves high-resolution reconstructions when the source is densely sampled but fails if the source is coarsely sampled. In this article, to achieve high-resolution reconstruction at a low source sampling rate, we propose a full-scan multiple-STCT (F-mSTCT) scanning configuration, which allows for a simple and effective weighting function to deal with data redundancy and truncation simultaneously. Based on this concept, we develop a weighted FBP (W-FBP) algorithm. The numerical and physical experiments demonstrate that W-FBP is able to reconstruct high-resolution images at a low source sampling rate, and can reduce 1/2-3/4 projections compared with V-FBP at the same resolution.

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How to cite

APA:

Chen, J., Yu, H., Ni, S., Liu, C., Ge, W., Huang, Y., & Liu, F. (2023). Weighted Filtered Back-Projection for Source Translation Computed Tomography Reconstruction. IEEE Transactions on Instrumentation and Measurement, 72. https://dx.doi.org/10.1109/TIM.2023.3306830

MLA:

Chen, Jie, et al. "Weighted Filtered Back-Projection for Source Translation Computed Tomography Reconstruction." IEEE Transactions on Instrumentation and Measurement 72 (2023).

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