scholarly journals Evaluation of Deformable Image Registration Methods for Dose Monitoring in Head and Neck Radiotherapy

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Bastien Rigaud ◽  
Antoine Simon ◽  
Joël Castelli ◽  
Maxime Gobeli ◽  
Juan-David Ospina Arango ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Image Registration ◽  
Head And Neck ◽  
Intensity Modulated Radiation Therapy ◽  
Deformable Image Registration ◽  
Free Form ◽  
Registration Accuracy ◽  
Dose Accumulation ◽  
Dose Monitoring ◽  
Dose Accuracy

In the context of head and neck cancer (HNC) adaptive radiation therapy (ART), the two purposes of the study were to compare the performance of multiple deformable image registration (DIR) methods and to quantify their impact for dose accumulation, in healthy structures. Fifteen HNC patients had a planning computed tomography (CT0) and weekly CTs during the 7 weeks of intensity-modulated radiation therapy (IMRT). Ten DIR approaches using different registration methods (demons or B-spline free form deformation (FFD)), preprocessing, and similarity metrics were tested. Two observers identified 14 landmarks (LM) on each CT-scan to compute LM registration error. The cumulated doses estimated by each method were compared. The two most effective DIR methods were the demons and the FFD, with both the mutual information (MI) metric and the filtered CTs. The corresponding LM registration accuracy (precision) was 2.44 mm (1.30 mm) and 2.54 mm (1.33 mm), respectively. The corresponding LM estimated cumulated dose accuracy (dose precision) was 0.85 Gy (0.93 Gy) and 0.88 Gy (0.95 Gy), respectively. The mean uncertainty (difference between maximal and minimal dose considering all the 10 methods) to estimate the cumulated mean dose to the parotid gland (PG) was 4.03 Gy (SD = 2.27 Gy, range: 1.06–8.91 Gy).

A novel concept to include uncertainties in the evaluation of stereotactic body radiation therapy after 4D dose accumulation using deformable image registration

2019 ◽  
Vol 46 (10) ◽  
pp. 4346-4355
Author(s):  
Juan Diego Azcona ◽  
Carlos Huesa‐Berral ◽  
Marta Moreno‐Jiménez ◽  
Benigno Barbés ◽  
José Javier Aristu ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Image Registration ◽  
Stereotactic Body Radiation Therapy ◽  
Deformable Image Registration ◽  
Stereotactic Body Radiation ◽  
Dose Accumulation ◽  
Novel Concept

scholarly journals PO-0935: Evaluation of deformable image registration methods for dose monitoring in head and neck adaptive radiotherapy

2015 ◽  
Vol 115 ◽  
pp. S488-S489 ◽  
Author(s):  
B. Rigaud ◽  
A. Simon ◽  
J. Castelli ◽  
M. Gobeli ◽  
J.D. Ospina Arango ◽  
...  
Keyword(s):  
Image Registration ◽  
Head And Neck ◽  
Deformable Image Registration ◽  
Adaptive Radiotherapy ◽  
Dose Monitoring

scholarly journals A Comparative Evaluation of 3 Different Free-Form Deformable Image Registration and Contour Propagation Methods for Head and Neck MRI: The Case of Parotid Changes During Radiotherapy

2017 ◽  
Vol 16 (3) ◽  
pp. 373-381 ◽  
Author(s):  
Sara Broggi ◽  
Elisa Scalco ◽  
Maria Luisa Belli ◽  
Gerlinde Logghe ◽  
Dirk Verellen ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Image Registration ◽  
Head And Neck ◽  
Deformable Image Registration ◽  
Similarity Coefficient ◽  
Free Form ◽  
Dice Similarity Coefficient ◽  
Contour Propagation ◽  
Free Form Deformation ◽  
Symmetric Distance

Purpose: To validate and compare the deformable image registration and parotid contour propagation process for head and neck magnetic resonance imaging in patients treated with radiotherapy using 3 different approaches—the commercial MIM, the open-source Elastix software, and an optimized version of it. Materials and Methods: Twelve patients with head and neck cancer previously treated with radiotherapy were considered. Deformable image registration and parotid contour propagation were evaluated by considering the magnetic resonance images acquired before and after the end of the treatment. Deformable image registration, based on free-form deformation method, and contour propagation available on MIM were compared to Elastix. Two different contour propagation approaches were implemented for Elastix software, a conventional one (DIR_Trx) and an optimized homemade version, based on mesh deformation (DIR_Mesh). The accuracy of these 3 approaches was estimated by comparing propagated to manual contours in terms of average symmetric distance, maximum symmetric distance, Dice similarity coefficient, sensitivity, and inclusiveness. Results: A good agreement was generally found between the manual contours and the propagated ones, without differences among the 3 methods; in few critical cases with complex deformations, DIR_Mesh proved to be more accurate, having the lowest values of average symmetric distance and maximum symmetric distance and the highest value of Dice similarity coefficient, although nonsignificant. The average propagation errors with respect to the reference contours are lower than the voxel diagonal (2 mm), and Dice similarity coefficient is around 0.8 for all 3 methods. Conclusion: The 3 free-form deformation approaches were not significantly different in terms of deformable image registration accuracy and can be safely adopted for the registration and parotid contour propagation during radiotherapy on magnetic resonance imaging. More optimized approaches (as DIR_Mesh) could be preferable for critical deformations.

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