Data extrapolation for truncation artifact removal
| Autor: | R. M. Henkelman, R. T. Constable |
|---|---|
| Rok vydání: | 1991 |
| Předmět: |
Artifact (error)
Fourier Analysis Knee Joint Pixel Computer science business.industry Truncation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Extrapolation Brain Iterative reconstruction Models Theoretical Image Enhancement Magnetic Resonance Imaging symbols.namesake Fourier transform Fourier analysis symbols Humans Radiology Nuclear Medicine and imaging Artificial intelligence business Algorithm Algorithms SIMPLE algorithm |
| Zdroj: | Magnetic Resonance in Medicine. 17:108-118 |
| ISSN: | 1522-2594 0740-3194 |
| Popis: | Clinicians typically obtain high-resolution clinical MR images in an effort to avoid the truncation artifacts that often arise in Fourier transform reconstruction of limited data. A method for reducing these artifacts in MR images, at the reconstruction stage, would allow for reduced imaging times, through the collection of fewer phase encode steps and increased signal-to-noise ratios, through increased pixel size. The approach to reducing truncation artifacts in MR images is developed and a simple algorithm is presented which significantly reduces truncation artifacts in images with as few as 96 phase encode steps. The algorithm is compared with a more sophisticated method of reconstructing truncation-free images and is shown to be equivalently effective. Three clinical examples are shown illustrating the success of the method. |
| Databáze: | OpenAIRE |
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