JOURNAL ARTICLE

<title>Motion artifact compensation in CT</title>

D. Zerfowski

Year: 1998 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 3338 Pages: 416-424   Publisher: SPIE

Abstract

A new method for compensating motion artifacts in computerized tomography is presented. The algorithm operates on the raw data, that is, on the measured Radon transform. An edge detection is performed on the Radon transform image. Two curves are obtained from these edges, which are fitted by a polynomial. The pointwise differences between the edges of the Radon transform image and the fitted curves are used to determine the parameters for the motion compensation. The corresponding operations are performed on the rows of the Radon transform. Our method is independent of the image reconstruction algorithms like filtered backprojection, Fourier method, etc. since all transformations are performed on the raw data.

Keywords:
Radon transform Computer vision Pointwise Radon Artifact (error) Artificial intelligence Computer science Motion compensation Fourier transform Iterative reconstruction Image processing Compensation (psychology) Hough transform Image (mathematics) Mathematics Physics Mathematical analysis

Metrics

14
Cited By
0.32
FWCI (Field Weighted Citation Impact)
7
Refs
0.58
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Scientific Research and Discoveries
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Computational Physics and Python Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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