The purpose of this study is to introduce a novel empirical iterative algorithm for medical image reconstruction, under the short
name MRP-ISWLS (Median Root Prior Image
Space Weighted Least Squares). Further, we assess the performance of the
new algorithm by comparing it to the simultaneous version of known MRP
algorithms. All algorithms are compared in terms of cross-correlation and
CNRs (Contrast-to-Noise Ratios). As it turns out, MRP-ISWLS presents higher
CNRs than the known algorithms for objects of different size. Also MRP-ISWLS
has better noise manipulation.
Cite this paper
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