WE-D-303-04: 4DCBCT-Based Dose Assessment for SBRT Lung Cancer Treatment

doi:https://doi.org/10.1118/1.4925939

WE-D-303-04: 4DCBCT-Based Dose Assessment for SBRT Lung Cancer Treatment

Wenli Cai,Martina Hurwitz,Christopher Williams,Salam Dhou,R Berbeco,Joao Seco+3 more-2015-06-01-Medical Physics

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TL;DRAbstract

Purpose: To develop a 4DCBCT-based dose assessment method for calculating actual delivered dose for patients with significant respiratory motion during the course of SBRT or anatomical changes between treatment days. Methods: To address the limitation of 4DCT-based dose assessment, we propose to calculate the delivered dose using time varying (‘fluoroscopic’) 3D patient images generated from a 4DCBCT-based motion model. The method includes four steps: (1) before each treatment, 4DCBCT data is acquired with the patient in treatment position, based on which a patient-specific motion model is created using a principal components analysis (PCA) algorithm. (2) During treatment, 2D time-varying kV projection images are continuously acquired, from which time-varying ‘fluoroscopic’ 3D images of the patient are reconstructed using the motion model. (3) Lateral truncation artifacts are corrected using planning 4DCT images. (4) the 3D dose distribution is computed for each timepoint in the set of

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Purpose: To develop a 4DCBCT-based dose assessment method for calculating actual delivered dose for patients with significant respiratory motion during the course of SBRT or anatomical changes between treatment days. Methods: To address the limitation of 4DCT-based dose assessment, we propose to calculate the delivered dose using time varying (‘fluoroscopic’) 3D patient images generated from a 4DCBCT-based motion model. The method includes four steps: (1) before each treatment, 4DCBCT data is acquired with the patient in treatment position, based on which a patient-specific motion model is created using a principal components analysis (PCA) algorithm. (2) During treatment, 2D time-varying kV projection images are continuously acquired, from which time-varying ‘fluoroscopic’ 3D images of the patient are reconstructed using the motion model. (3) Lateral truncation artifacts are corrected using planning 4DCT images. (4) the 3D dose distribution is computed for each timepoint in the set of

Keywords

Imaging phantomNuclear medicineGround truthDosimetryMedical imagingMedicineRadiation treatment planningRadiation therapy

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