| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6951095 | Biomedical Signal Processing and Control | 2017 | 8 Pages |
Abstract
This paper presents a new approach for reliability estimation by introducing a novel local-based index, which is able to discriminate between tumour heterogeneity, featured by locally structured patterns, and noise, characterised by sparse and unstructured values. This index enables a proper comparison between perfusion maps and can replace the parameters based on the global mean, thus improving the overall reliability of CTp studies and favouring the translation into clinical routine.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Alessandro Bevilacqua, Domenico Barone, Serena Baiocco, Giampaolo Gavelli,