Name
Abstract | ||
|---|---|---|
•A comparison between ten methods for computing the T2 distribution was performed.•Various regularization techniques and penalty functions were tested.•Our findings demonstrated the need for regularization.•A list of recommendations for selecting the optimal algorithms was provided.•The implemented methods were packaged in a freely distributed toolbox. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.media.2021.101959 | Medical Image Analysis |
Keywords | DocType | Volume |
T2 relaxometry,Myelin water imaging,Tikhonov regularization,Non-negative least squares,Tissue microstructure | Journal | 69 |
ISSN | Citations | PageRank |
1361-8415 | 0 | 0.34 |
References | Authors | |
0 | 12 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erick Jorge Canales-Rodríguez | 1 | 188 | 12.40 |
| Marco Pizzolato | 2 | 37 | 5.91 |
| Gian Franco Piredda | 3 | 0 | 1.01 |
| Tom Hilbert | 4 | 0 | 2.03 |
| Nicolas Kunz | 5 | 36 | 2.12 |
| Caroline Pot | 6 | 0 | 0.34 |
| Thomas Yu | 7 | 9 | 2.84 |
| Raymond Salvador | 8 | 0 | 0.34 |
| Edith Pomarol-Clotet | 9 | 29 | 2.93 |
| Tobias Kober | 10 | 137 | 9.48 |
| Jean-Philippe Thiran | 11 | 2 | 2.77 |
| Alessandro Daducci | 12 | 165 | 12.96 |