Improving MRI Reconstruction with Reordering Techniques
Author Information
Author(s): Adluru Ganesh, DiBella Edward V. R.
Primary Institution: University of Utah
Hypothesis
Can reordering pixel intensities improve the reconstruction of MRI images from undersampled k-space data?
Conclusion
The proposed reordering technique enhances the reconstruction quality of MRI images by better matching the constraints used in the reconstruction process.
Supporting Evidence
- The reordering method was shown to improve reconstructions in dynamic myocardial perfusion imaging.
- Results indicated that reordering can lead to better image quality in cases of respiratory motion.
- Reordering was effective in both 1D and 2D cases, enhancing the reconstruction of complex images.
Takeaway
This study shows that rearranging the order of pixel values can help create clearer MRI images, even when not all data is collected.
Methodology
The study proposes a reordering technique applied to pixel intensities in MRI reconstruction, using a preprocessing step to enhance the iterative reconstruction process.
Limitations
The method may not perform well if the ordering is incorrect, and the reconstruction time is longer due to the additional reordering step.
Digital Object Identifier (DOI)
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