Name
Abstract | ||
|---|---|---|
The 3TP (three time points) method has been proposed for producing high-resolution pseudo-coloured maps related to the angiogenic activity in breast DCE-MRI. In the original formulation of the method, the three time-points have been chosen on an empirical basis: the algorithm for benign/malignant/uncertain classification of a voxel was to be as simple as possible and the corresponding regions of the parameters space (according to the Tofts’ model) were to occupy approximately the same area. Since its inception, the method has been largely used in clinical environment, due to its simplicity and soundness. However, as only three time-points are used to evaluate the characteristics of the complex time-course of the contrast medium within capillaries, noise can result in voxel misclassification, as we show in this study. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.bspc.2014.10.004 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
DCE-MRI,Nonlinear regression,Confidence region,Optimal design,3TP method,Tofts model | Confidence region,Voxel,Pattern recognition,Nonlinear regression,Optimal design,Artificial intelligence,Soundness,Mathematics | Journal |
Volume | ISSN | Citations |
16 | 1746-8094 | 2 |
PageRank | References | Authors |
0.53 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mario Sansone | 1 | 61 | 9.22 |
| Roberta Fusco | 2 | 40 | 6.68 |
| Antonella Petrillo | 3 | 33 | 11.89 |