Reordering for Improved Constrained Reconstruction from Undersampled k-Space Data
Recently, there has been a significant interest in applying reconstruction techniques, like constrained reconstruction or compressed sampling methods, to undersampled k-space data in MRI. Here, we propose a novel reordering technique to improve these types of reconstruction methods. In this techniqu...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2008-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2008/341684 |
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| _version_ | 1832559315553091584 |
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| author | Ganesh Adluru Edward V. R. DiBella |
| author_facet | Ganesh Adluru Edward V. R. DiBella |
| author_sort | Ganesh Adluru |
| collection | DOAJ |
| description | Recently, there has been a significant interest in applying reconstruction techniques, like constrained reconstruction or compressed sampling methods, to undersampled k-space data in MRI. Here, we propose a novel reordering technique to improve these types of reconstruction methods. In this technique, the intensities of the signal estimate are reordered according to a preprocessing step when applying the constraints on the estimated solution within the iterative reconstruction. The ordering of the intensities is such that it makes the original artifact-free signal monotonic and thus minimizes the finite differences norm if the correct image is estimated; this ordering can be estimated based on the undersampled measured data. Theory and example applications of the method for accelerating myocardial perfusion imaging with respiratory motion and brain diffusion tensor imaging are presented. |
| format | Article |
| id | doaj-art-e52064175add424882b77acf0e780c00 |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2008-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-e52064175add424882b77acf0e780c002025-02-03T01:30:26ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962008-01-01200810.1155/2008/341684341684Reordering for Improved Constrained Reconstruction from Undersampled k-Space DataGanesh Adluru0Edward V. R. DiBella1Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USAUtah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, UT 84108, USARecently, there has been a significant interest in applying reconstruction techniques, like constrained reconstruction or compressed sampling methods, to undersampled k-space data in MRI. Here, we propose a novel reordering technique to improve these types of reconstruction methods. In this technique, the intensities of the signal estimate are reordered according to a preprocessing step when applying the constraints on the estimated solution within the iterative reconstruction. The ordering of the intensities is such that it makes the original artifact-free signal monotonic and thus minimizes the finite differences norm if the correct image is estimated; this ordering can be estimated based on the undersampled measured data. Theory and example applications of the method for accelerating myocardial perfusion imaging with respiratory motion and brain diffusion tensor imaging are presented.http://dx.doi.org/10.1155/2008/341684 |
| spellingShingle | Ganesh Adluru Edward V. R. DiBella Reordering for Improved Constrained Reconstruction from Undersampled k-Space Data International Journal of Biomedical Imaging |
| title | Reordering for Improved Constrained Reconstruction from Undersampled k-Space Data |
| title_full | Reordering for Improved Constrained Reconstruction from Undersampled k-Space Data |
| title_fullStr | Reordering for Improved Constrained Reconstruction from Undersampled k-Space Data |
| title_full_unstemmed | Reordering for Improved Constrained Reconstruction from Undersampled k-Space Data |
| title_short | Reordering for Improved Constrained Reconstruction from Undersampled k-Space Data |
| title_sort | reordering for improved constrained reconstruction from undersampled k space data |
| url | http://dx.doi.org/10.1155/2008/341684 |
| work_keys_str_mv | AT ganeshadluru reorderingforimprovedconstrainedreconstructionfromundersampledkspacedata AT edwardvrdibella reorderingforimprovedconstrainedreconstructionfromundersampledkspacedata |