Geometric Artifact Correction for Symmetric Multi-Linear Trajectory CT: Theory, Method, and Generalization
For extending CT field-of-view to perform non-destructive testing, the Symmetric Multi-Linear trajectory Computed Tomography (SMLCT) has been developed as a successful example of non-standard CT scanning modes. However, inevitable geometric errors can cause severe artifacts in the reconstructed imag...
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Main Authors | , , , , , |
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Format | Journal Article |
Language | English |
Published |
27.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | For extending CT field-of-view to perform non-destructive testing, the
Symmetric Multi-Linear trajectory Computed Tomography (SMLCT) has been
developed as a successful example of non-standard CT scanning modes. However,
inevitable geometric errors can cause severe artifacts in the reconstructed
images. The existing calibration method for SMLCT is both crude and
inefficient. It involves reconstructing hundreds of images by exhaustively
substituting each potential error, and then manually identifying the images
with the fewest geometric artifacts to estimate the final geometric errors for
calibration. In this paper, we comprehensively and efficiently address the
challenging geometric artifacts in SMLCT, , and the corresponding works mainly
involve theory, method, and generalization. In particular, after identifying
sensitive parameters and conducting some theory analysis of geometric
artifacts, we summarize several key properties between sensitive geometric
parameters and artifact characteristics. Then, we further construct
mathematical relationships that relate sensitive geometric errors to the pixel
offsets of reconstruction images with artifact characteristics. To accurately
extract pixel bias, we innovatively adapt the Generalized Cross-Correlation
with Phase Transform (GCC-PHAT) algorithm, commonly used in sound processing,
for our image registration task for each paired symmetric LCT. This adaptation
leads to the design of a highly efficient rigid translation registration
method. Simulation and physical experiments have validated the excellent
performance of this work. Additionally, our results demonstrate significant
generalization to common rotated CT and a variant of SMLCT. |
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DOI: | 10.48550/arxiv.2408.15069 |