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- W269723078 abstract "AbstractSignal correlation measurement has been widely used for segmenting specific tissues, localizing abnormal regions and analyzing functional areas in dynamic imaging modalities. In this paper, we discussed the feasibility of similarity mappings derived from six signal coefficient measurements in improving morphological evaluation of human brain. These images are from a digital phantom and four normal volunteers scanned by multi-echo T2-star weighted MR sequences. Simulation studies have shown that similarity mappings from cross-correlation, normalized cross-correlation, mean square error and cubed sum coefficient are not helpful in distinguishing the reference region from its surrounding tissues. Clinical experiments were focused on similarity coefficient mapping (SCM) and improved SCM (iSCM). Final results have demonstrated comparative capacity of SCM and iSCM in improving image quality from quantitative metrics and visual analysis.KeywordsSignal correlation measurementsimilarity mappingmorphological evaluationmulti-echo T2-star weighted MR sequences" @default.
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- W269723078 date "2014-01-01" @default.
- W269723078 modified "2023-09-26" @default.
- W269723078 title "Feasibility Study of Signal Similarity Measurements for Improving Morphological Evaluation of Human Brain with Images from Multi-Echo T2-Star Weighted MR Sequences" @default.
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- W269723078 doi "https://doi.org/10.1007/978-3-319-06269-3_26" @default.
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