Titre :

Multimodal imaging in radiotherapy: Focus on adaptive therapy and quality control

Auteur(s) :

Talbot, A. [Auteur]
Hôpital Roger Salengro [Lille]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Devos, L. [Auteur]
Hôpital Roger Salengro [Lille]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Dubus, F. [Auteur]
Hôpital Roger Salengro [Lille]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Vermandel, M. [Auteur correspondant]
Hôpital Roger Salengro [Lille]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Thérapies Assistées par Lasers et Immunothérapies pour l'Oncologie - U 1189 [OncoThAI]

Titre de la revue :

Cancer/Radiothérapie

Pagination :

411 - 417

Éditeur :

Elsevier Masson

Date de publication :

2020-08-31

ISSN :

1278-3218

Mot(s)-clé(s) en anglais :

Adaptive radiotherapy
Image registration
Imagerie multimodalité
Multimodality imaging
Patient positioning
Planification de traitement
Positionnement
Radiothérapie adaptative
Recalage
Treatment planning

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

Improved computer resources in radiation oncology department have greatly facilitated the integration of multimodal imaging into the workflow of radiation therapy. Nowadays, physicians have highly informative imaging ...
Lire la suite >Improved computer resources in radiation oncology department have greatly facilitated the integration of multimodal imaging into the workflow of radiation therapy. Nowadays, physicians have highly informative imaging modalities of the anatomical region to be treated. These images contribute to the targeting accuracy with the current treatment device, impacting both segmentation or patient's positioning. Additionally, in a constant effort to deliver personalized care, many teams seek to confirm the benefits of adaptive radiotherapy. The published works highlight the importance of registration algorithms, particularly those of elastic or deformable registration necessary to take into account the anatomical evolutions of the patients during the course of their therapy. These algorithms, often considered as "black boxes", tend to be better controlled and understood by physicists and physicians thanks to the generalization of evaluation and validation methods. Given the still significant development of medical imaging techniques, it is foreseeable that multimodal registration needs require more efficient algorithms well integrated within the flow of data.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Thérapies Lasers Assistées par l'Image pour l'Oncologie (ONCO-THAI) - U1189

Source :

Harvested from HAL