[Beam hardening correction method for X-ray computed tomography based on subsection beam hardening curves]
Kui-dong Huang1, Ding-hua Zhang
1Key Lab of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi'an 710072, China. kdhuang@nwpu.edu.cn
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|December 3, 2009
Summary
This study introduces a new beam hardening correction model for X-ray imaging, reducing computational complexity. The method effectively removes artifacts in computed tomography (CT) images, even with added noise.
Area of Science:
- Medical Physics
- Image Processing
Context:
- X-ray imaging, particularly computed tomography (CT), is susceptible to beam hardening artifacts.
- Existing beam hardening correction methods can be computationally intensive.
Purpose:
- To develop a computationally efficient beam hardening correction model for X-ray imaging.
- To propose a novel method for expressing beam hardening curves using piecewise polynomials and power functions.
Summary:
- A new beam hardening correction model uses projection gray value as the independent variable, simplifying calculations.
- The method fits data to a polynomial curve, replacing surging segments with power functions while ensuring C1 continuity.
- This approach demonstrates stability and effectiveness in correcting artifacts in both ideal and noisy CT images.
Impact:
- Reduces computational difficulties in beam hardening correction.
- Significantly minimizes beam hardening artifacts in CT images.
- Enhances the quality and diagnostic accuracy of CT imaging.
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