2006
DOI: 10.1016/j.jmr.2005.12.013
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Optimization of data acquisition for EPR imaging

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Cited by 14 publications
(9 citation statements)
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“…Important steps were made in the optimization of image‐acquisition software and image‐reconstruction routines . Implementation of these approaches has been shown to allow reduction in the number of projections, resulting in reduction of total image‐acquisition time and achieving submillimeter resolution in images of isolated rat hearts infused with LiNcBuO suspension and acquired in 264 seconds …”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Important steps were made in the optimization of image‐acquisition software and image‐reconstruction routines . Implementation of these approaches has been shown to allow reduction in the number of projections, resulting in reduction of total image‐acquisition time and achieving submillimeter resolution in images of isolated rat hearts infused with LiNcBuO suspension and acquired in 264 seconds …”
Section: Discussionmentioning
confidence: 99%
“…33 Important steps were made in the optimization of imageacquisition software and image-reconstruction routines. [36][37][38][39][40][41][42][43] Implementation of these approaches has been shown to allow reduction in the number of projections, resulting in reduction of total image-acquisition time and achieving submillimeter resolution in images of isolated rat hearts infused with LiNcBuO suspension and acquired in 264 seconds. 41,42,44 With regard to hardware development, construction of fast 3D gradients even in combination with high-inductance main magnet allowed significant reduction of CW-EPRI image-acquisition time.…”
Section: Discussionmentioning
confidence: 99%
“…This can be done additively. Analysis of an intermediate image may guide gradient selection for the next projections [38]. The algorithm allows relaxing homogeneity specifications for external magnet and gradient coils.…”
Section: Discussionmentioning
confidence: 99%
“…Similarly to [31], [39] and [4], we assume that the data is corrupted with an additive independant gaussian white noise denoted n, thus yielding the direct model of spatial EPRI acquisition…”
Section: Direct Modelmentioning
confidence: 99%