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

Document type :

Article dans une revue scientifique: Article original

DOI :

10.1088/0031-9155/60/24/9473

PMID :

Permalink :

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

Title :

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

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

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

Journal title :

Physics in Medicine and Biology Journal, IOP SCIENCE

Abbreviated title :

Phys. Med. Biol.

Volume number :

60

Pages :

9473-9491

Publication date :

2015-11

ISSN :

0031-9155

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CHU Lille

Collections :

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

Research team(s) :

Innovation/évaluation des médicaments injectables

Submission date :

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

Version history