[Evaluation of Accuracy of Deformable Image Registration with Newly Developed Treatment Planning Support Software for Thoracic Images].
4DCT
deformable image registration
lung
radiotherapy
thoracic image
Journal
Nihon Hoshasen Gijutsu Gakkai zasshi
ISSN: 1881-4883
Titre abrégé: Nihon Hoshasen Gijutsu Gakkai Zasshi
Pays: Japan
ID NLM: 7505722
Informations de publication
Date de publication:
20 Oct 2022
20 Oct 2022
Historique:
pubmed:
25
8
2022
medline:
22
10
2022
entrez:
24
8
2022
Statut:
ppublish
Résumé
This study evaluated accuracy of deformable image registration (DIR) with twelve parameter settings for thoracic images. We used peak-inhale and peak-exhale images for ten patients provided by DIR-lab. We used a prototype version of iCView software (ITEM Corporation) with DIR to perform intensity, structure, and hybrid-based DIR with the twelve parameter settings. DIR accuracy was evaluated by a target registration error (TRE) using 300 bronchial bifurcations and the Dice similarity coefficient (DSC) of the lungs. For twelve parameter settings, TRE ranged from 2.83 mm to 5.27 mm, whereas DSC ranged from 0.96 to 0.98. These results demonstrated that DIR accuracy differed among parameter settings and show that appropriate parameter settings are required for clinical practice.
Identifiants
pubmed: 36002256
doi: 10.6009/jjrt.2022-1308
doi:
Types de publication
English Abstract
Journal Article
Langues
jpn
Sous-ensembles de citation
IM