Extraction du signal respiratoire à partir de projections cone-beam pour l'imagerie TDM 4D

Extraction du signal respiratoire à partir de projections cone-beam pour l'imagerie TDM 4D

Extraction of the respiratory signal from cone-beam projections for 4D CT imaging

Simon Rit David Sarrut  Vlad Boldea  Chantal Ginestet 

LIRIS, UMR CNRS 5205, Université Lumière Lyon 2, 5 avenue Pierre Mendès-France, 69676 Bron, France

Département de Radiothérapie, Centre Léon Bérard, 28 rue Laënnec, 69353 Lyon, France

CREATIS, UMR CNRS 5515, INSERM U 630, INSA Lyon, Bat. Blaise Pascal, 69621 Villeurbanne Cedex, France

31 May 2005
31 August 2006
| Citation



To be efficient, the treatement of the lung cancers with radiation therapy must take into account the respiratory motion. The knowledge of this motion requires the acquisition of 4D computed tomography (CT) images. The free-breathing thorax 4D CT images currently acquired use gated or respiratory-correlated methods. These methods involve the collection of a respiratory signal during the acquisition of data in order to sort them into different groups. The quality of the 4D CT image thus depends on an accurate description by the signal of the position of the thorax in the respiratory cycle. The signal is generally acquired by independent measurements of densitometric data (spirometer, thermometer,...). We propose to extract it directly from the sequence of 2D cone-beam (CB) projections acquired around the free-breathing thorax. Our method derives the motion between two consecutive 2D CB projections using a block matching algorithm. Blocks are positioned around points of interest constituting a regular sampling of the 2D CB projections. A unidimensional signal is derived from the trajectory of each block in the sequence after projection. Aggregation of a subset of selected makes it possible to derive the respiratory signal during the acquisition time. Our method is validated quantitatively on simulated data and qualitatively on real data. On simulated data, we obtain a respiratory signal with 97.5 % linear correlation with the reference. On real data, the extracted signal allow to reconstruct 4D CT images for comparison with the blurred 3D CT image obtained without taking into account the respiratory motion.


Le traitement des cancers des poumons par radiothérapie doit prendre en compte les mouvements respiratoires pour être efficace. La connaissance de ce mouvement passe par l'obtention d'images tomodensitométriques (TDM) 4D. Les images TDM 4D du thorax en respiration libre acquises actuellement utilisent les méthodes de type gated ou respiration-correlated. Ces méthodes nécessitent un signal respiratoire, recueilli pendant l'acquisition des données, pour trier celles-ci en différents groupes. La qualité de l'image TDM 4D dépend alors d'une description correcte, par le signal respiratoire, de la position du thorax dans le cycle respiratoire au cours de l'acquisition. Ce signal est généralement acquis par une mesure indépendante des données densitométriques (spiromètre, thermomètre,...). Nous proposons de l'extraire directement de la séquence de projections cone-beam (CB) 2D acquises autour du thorax en respiration libre. Notre méthode extrait le mouvement entre deux projections CB 2D consécutives par un algorithme de mise en correspondance de blocs. Ces blocs sont positionnés autour de points d'intérêt constituant un sous-échantillonnage régulier des projections CB 2D. Nous déduisons de la trajectoire de chaque bloc dans la séquence un signal unidimensionnel après projection. Une sélection d'un sous-ensemble de ces signaux nous permet d'obtenir, après agrégation, le signal respiratoire pendant le temps de l'acquisition. Notre méthode est validée quantitativement sur données simulées et qualitativement sur données réelles. Sur données simulées, nous obtenons un signal respiratoire corrélé linéairement à 97,5 % avec la référence. Sur données réelles, le signal extrait nous permet de reconstruire l'image TDM 4D d'un patient que l'on compare à l'image TDM 3D floue, obtenue sans prise en compte du mouvement respiratoire.


Respiratory signal, 4D reconstruction, computed tomograpy, cone-beam, thorax, radiation therapy

Mots clés

Signal respiratoire, reconstruction 4D, tomodensitométrie, cone-beam, thorax, radiothérapie

1. Introduction
2. Méthode D'extraction Du Signal Respiratoire
3. Expériences
4. Résultats
5. Conclusion

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