Is STAPLE algorithm confident to assess segmentation methods in PET imaging?

Type de document :

Article dans une revue scientifique: Article original

DOI :

10.1088/0031-9155/60/24/9473

PMID :

URL permanente :

http://hdl.handle.net/20.500.12210/4377

Titre :

Is STAPLE algorithm confident to assess segmentation methods in PET imaging?

Auteur(s) :

Dewalle-Vignion, Anne-Sophie [Auteur]
Thérapies Assistées par Lasers et Immunothérapies pour l'Oncologie - U 1189 [OncoThAI]
Betrouni, Nacim [Auteur]

Troubles cognitifs dégénératifs et vasculaires - U1171
Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 [TCDV]
Baillet, Clio [Auteur]

Groupe de Recherche sur les formes Injectables et les Technologies Associées - ULR 7365 [GRITA]
Vermandel, Maximilien [Auteur]
Thérapies Lasers Assistées par l'Image pour l'Oncologie (ONCO-THAI) - U1189
Thérapies Assistées par Lasers et Immunothérapies pour l'Oncologie - U 1189 [OncoThAI]

Titre de la revue :

Physics in Medicine and Biology Journal, IOP SCIENCE

Nom court de la revue :

Phys. Med. Biol.

Numéro :

60

Pagination :

9473-9491

Date de publication :

2015-11

ISSN :

0031-9155

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

Accurate tumor segmentation in [18F]-fluorodeoxyglucose positron emission tomography is crucial for tumor response assessment and target volume definition in radiation therapy. Evaluation of segmentation methods from ...
Lire la suite >Accurate tumor segmentation in [18F]-fluorodeoxyglucose positron emission tomography is crucial for tumor response assessment and target volume definition in radiation therapy. Evaluation of segmentation methods from clinical data without ground truth is usually based on physicians' manual delineations. In this context, the simultaneous truth and performance level estimation (STAPLE) algorithm could be useful to manage the multi-observers variability. In this paper, we evaluated how this algorithm could accurately estimate the ground truth in PET imaging. Complete evaluation study using different criteria was performed on simulated data. The STAPLE algorithm was applied to manual and automatic segmentation results. A specific configuration of the implementation provided by the Computational Radiology Laboratory was used. Consensus obtained by the STAPLE algorithm from manual delineations appeared to be more accurate than manual delineations themselves (80% of overlap). An improvement of the accuracy was also observed when applying the STAPLE algorithm to automatic segmentations results. The STAPLE algorithm, with the configuration used in this paper, is more appropriate than manual delineations alone or automatic segmentations results alone to estimate the ground truth in PET imaging. Therefore, it might be preferred to assess the accuracy of tumor segmentation methods in PET imaging.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
CHU Lille

Collections :

Groupe de Recherche sur les formes Injectables et les Technologies Associées (GRITA) - ULR 7365

Équipe(s) de recherche :

Innovation/évaluation des médicaments injectables

Date de dépôt :

2019-02-26T17:07:29Z
2022-04-13T09:01:46Z

Historique des modifications