Related Experiment Videos
Structured noise in computed tomography: effects of periodic error sources
Medical Physics
|September 1, 1982
Summary
Cyclic projection errors in computed tomography (CT) create artifacts described by Bessel functions. These artifacts can be minimized by adjusting sampling parameters relative to the periodic error frequency.
Area of Science:
- Medical Imaging
- Computational Physics
- Image Processing
Background:
- Cyclic projection errors, such as x-ray intensity fluctuations, can introduce artifacts in computed tomography (CT) images.
- Understanding the nature and origin of these artifacts is crucial for accurate image reconstruction.
Purpose of the Study:
- To derive and verify the artifact generated by cyclic projection errors in CT images using computer simulations.
- To analyze the characteristics of these artifacts, including their dependence on Bessel functions, radial arguments, and angular modulation.
Main Methods:
- Computer simulations were employed to derive and verify the artifact caused by cyclic projection errors.
- The study analyzed the mathematical description of the artifact using Bessel functions and their properties.
- Simulations were performed for various CT scanner generations (first, third, and fourth) to assess the impact of sampling.
Main Results:
- The artifact is described by Bessel functions, appearing as a zero-value region up to a certain radius.
- In fourth-generation scanners, a fundamental artifact occurs at approximately 39 degrees detector fan angle, independent of error frequency.
- Sampling effects introduce multiple superimposed artifacts, with radii dependent on error frequency, but the fundamental artifact is independent.
Conclusions:
- The fundamental artifact in fourth-generation CT scanners is visible only with detector fan angles exceeding approximately 39 degrees.
- Sampling effects can lead to numerous artifacts, but judicious selection of sampling parameters can effectively eliminate them.
- The study provides insights into artifact reduction strategies in CT imaging by understanding the role of cyclic errors and sampling.