A direct PCA-based approach for real-time description of physiological organ deformations

Abstract : Dynamic MR-imaging can provide functional and positional information in real-time, which can be conveniently used on-line to control a cancer therapy, e.g. using High Intensity Focused Ultrasound or Radio Therapy. However, a precise real-time correction for motion is fundamental in abdominal organs to ensure an optimal treatment dose associated with a limited toxicity in nearby organs at risk. This paper proposes a real-time direct PCA-based technique which offers a robust approach for motion estimation of abdominal organs and allows correcting motion related artifacts. The PCA was used to detect spatio-temporal coherences of the periodic organ motion in a learning step. During the interventional procedure, physiological contributions were characterized quantitatively using a small set of parameters. A coarse-to-fine resolution scheme is proposed to improve the stability of the algorithm and afford a predictable constant latency of 80 ms. The technique was evaluated on 12 free-breathing volunteers and provided an improved real-time description of motion related to both breathing and cardiac cycles. A reduced learning step of 10 s was sufficient without any need for patient-specific control parameters, rendering the method suitable for clinical use.
Type de document :
Article dans une revue
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2015, 34 (4), pp.974-982. 〈10.1109/TMI.2014.2371995〉
Liste complète des métadonnées

Littérature citée [28 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01083281
Contributeur : Baudouin Denis de Senneville <>
Soumis le : lundi 17 novembre 2014 - 09:05:07
Dernière modification le : jeudi 7 septembre 2017 - 01:06:00

Fichier

2015_TMI_PCA.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

IMB

Citation

Baudouin Denis de Senneville, Abdallah El Hamidi, Chrit Moonen. A direct PCA-based approach for real-time description of physiological organ deformations. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2015, 34 (4), pp.974-982. 〈10.1109/TMI.2014.2371995〉. 〈hal-01083281〉

Partager

Métriques

Consultations de
la notice

65

Téléchargements du document

6