Archivio Istituzionale della RicercaThe aim of this work is to develop a novel automatic voxel-based quantitative measurement approach to evaluate the registration accuracy of a Deformable Image Registration (DIR) algorithm in clinical practice. As the Inverse Consistency Error (ICE) can be computed directly from the deformation vector field (DVF) generated by the Treatment Planning System (TPS), it appears to be a valid surrogate of standard quality assurance metrics to assess the spatial error in the registration process.
OD26 - Inverse consistency error as a validation metric for deformable image registration: preliminary implementation research / Fusella, M.; Vagni, M.; Fiandra, C.; Michielli, N.; Scaggion, A.; Vecchi, C.; Zara, S.; Molinari, F.; Loi, G.. - ELETTRONICO. - 92:(2021), pp. S67-S67. (Intervento presentato al convegno 3rd European Congress of Medical Physics nel 16th June – 31st December 2021) [10.1016/S1120-1797(22)00143-0].
OD26 - Inverse consistency error as a validation metric for deformable image registration: preliminary implementation research
N. Michielli;F. Molinari;
2021
Abstract
The aim of this work is to develop a novel automatic voxel-based quantitative measurement approach to evaluate the registration accuracy of a Deformable Image Registration (DIR) algorithm in clinical practice. As the Inverse Consistency Error (ICE) can be computed directly from the deformation vector field (DVF) generated by the Treatment Planning System (TPS), it appears to be a valid surrogate of standard quality assurance metrics to assess the spatial error in the registration process.
| File | Dimensione | Formato | |
|---|---|---|---|
|
1-s2.0-S1120179722001430-main.pdf
accesso aperto
Tipologia:
Abstract
Licenza:
PUBBLICO - Tutti i diritti riservati
Dimensione
74.38 kB
Formato
Adobe PDF
|
74.38 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2952296