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A robust algorithm for reduction of truncation artifact in chemical shift images
IEEE Transactions on Medical Imaging
|January 1, 1993
Summary
This study introduces an iterative method to reduce ringing artifacts in chemical shift imaging by extrapolating high spatial frequency data using anatomic edge information, improving image quality.
Area of Science:
- Medical Imaging
- Image Processing
- Computational Science
Background:
- Chemical shift imaging (CSI) is susceptible to ringing artifacts.
- These artifacts arise from the truncation of high spatial frequency data during image reconstruction.
- Existing methods may not adequately address the inaccuracies in edge information.
Purpose of the Study:
- To develop a novel iterative technique for reducing ringing artifacts in chemical shift images.
- To improve the accuracy and quality of CSI by extrapolating high spatial frequency data.
- To account for potential inaccuracies in edge information derived from anatomic images.
Main Methods:
- An iterative approach is proposed to extrapolate high spatial frequency data.
- Edge information from high-resolution anatomic images guides the extrapolation process.
- A confidence interval around anatomic edges accommodates potential pixel misalignments.
Main Results:
- The technique was validated using both simulated and in vivo data.
- Excellent results were achieved in reducing ringing artifacts.
- Improved image quality in chemical shift imaging was demonstrated.
Conclusions:
- The presented iterative technique effectively reduces ringing artifacts in CSI.
- Utilizing anatomic edge information with a confidence interval enhances artifact reduction.
- This method offers a promising solution for improving the diagnostic value of chemical shift images.
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