We developed an efficient technique to auto-propagate parotid gland contours from planning kVCT to daily MVCT images of head-and-neck cancer patients treated with helical tomotherapy. The method deformed a 3D surface mesh constructed from manual kVCT contours by B-spline free-form deformation to generate optimal and smooth contours. Deformation was calculated by elastic image registration between kVCT and MVCT images. Data from ten head-and-neck cancer patients were considered and manual contours by three observers were included in both kVCT and MVCT images. A preliminary inter-observer variability analysis demonstrated the importance of contour propagation in tomotherapy application: a high variability was reported in MVCT parotid volume estimation (p = 0.0176, ANOVA test) and a larger uncertainty of MVCT contouring compared with kVCT was demonstrated by DICE and volume variability indices (Wilcoxon signed rank test, p < 10-4 for both indices). The performance analysis of our method showed no significant differences between automatic and manual contours in terms of volumes (p > 0.05, in a multiple comparison Tukey test), center-of-mass distances (p = 0.3043, ANOVA test), DICE values (p = 0.1672, Wilcoxon signed rank test) and average and maximum symmetric distances (p = 0.2043, p = 0.8228 Wilcoxon signed rank tests). Results suggested that our contour propagation method could successfully substitute human contouring on MVCT images. © 2011 Institute of Physics and Engineering in Medicine.

Faggiano, E., Fiorino, C., Scalco, E., Broggi, S., Cattaneo, M., Maggiulli, E., et al. (2011). An automatic contour propagation method to follow parotid gland deformation during head-and-neck cancer tomotherapy. PHYSICS IN MEDICINE AND BIOLOGY, 56(3), 775-791 [10.1088/0031-9155/56/3/015].

An automatic contour propagation method to follow parotid gland deformation during head-and-neck cancer tomotherapy

FAGGIANO, ENRICO
Primo
;
SCALCO, ELISA;BROGGI, SERENA;RIZZO, GIOVANNI
Ultimo
2011

Abstract

We developed an efficient technique to auto-propagate parotid gland contours from planning kVCT to daily MVCT images of head-and-neck cancer patients treated with helical tomotherapy. The method deformed a 3D surface mesh constructed from manual kVCT contours by B-spline free-form deformation to generate optimal and smooth contours. Deformation was calculated by elastic image registration between kVCT and MVCT images. Data from ten head-and-neck cancer patients were considered and manual contours by three observers were included in both kVCT and MVCT images. A preliminary inter-observer variability analysis demonstrated the importance of contour propagation in tomotherapy application: a high variability was reported in MVCT parotid volume estimation (p = 0.0176, ANOVA test) and a larger uncertainty of MVCT contouring compared with kVCT was demonstrated by DICE and volume variability indices (Wilcoxon signed rank test, p < 10-4 for both indices). The performance analysis of our method showed no significant differences between automatic and manual contours in terms of volumes (p > 0.05, in a multiple comparison Tukey test), center-of-mass distances (p = 0.3043, ANOVA test), DICE values (p = 0.1672, Wilcoxon signed rank test) and average and maximum symmetric distances (p = 0.2043, p = 0.8228 Wilcoxon signed rank tests). Results suggested that our contour propagation method could successfully substitute human contouring on MVCT images. © 2011 Institute of Physics and Engineering in Medicine.
Articolo in rivista - Articolo scientifico
Automation; Head and Neck Neoplasms; Humans; Image Processing, Computer-Assisted; Observer Variation; Parotid Gland; Radiotherapy, Computer-Assisted; Tomography, X-Ray Computed; Radiology, Nuclear Medicine and Imaging; Radiological and Ultrasound Technology
English
2011
56
3
775
791
none
Faggiano, E., Fiorino, C., Scalco, E., Broggi, S., Cattaneo, M., Maggiulli, E., et al. (2011). An automatic contour propagation method to follow parotid gland deformation during head-and-neck cancer tomotherapy. PHYSICS IN MEDICINE AND BIOLOGY, 56(3), 775-791 [10.1088/0031-9155/56/3/015].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/78193
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