Purpose/Objective(s): We perform quantitative analysis of differences in deformable image registration (DIR) and deformable dose accumulation (DDA) computed on CBCT datasets reconstructed using the standard (Feldkamp-Davis-Kress: FDK_CBCT) and a novel iterative (iterative_CBCT) CBCT reconstruction algorithms. Materials/Methods: Nine head/neck (H&N) and 10 prostate cancer patients were randomly selected for retrospective analysis. Both FDK_CBCT and iterative_CBCT images were reconstructed for 608 fractions of treatment. Planning CT images were deformably registered to CBCT image sets using an intensity-based, B-spline algorithm (Elastix ITK/VTK) with optimized parameters. After dose distributions were computed for each fraction on both defor...
Purpose: This study aimed to evaluate the clinical utility of a novel iterative cone beam computed t...
Purpose: To use quantitative (contouring variability) and qualitative (image quality) means to evalu...
Purpose: To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulat...
Purpose/Objective(s): We perform quantitative analysis of differences in deformable image registrati...
Purpose: A novel iterative CBCT reconstruction algorithm using patientspecific scatter corrections h...
Purpose: A novel iterative CBCT reconstruction algorithm using patientspecific scatter corrections h...
PURPOSE: We performed quantitative analysis of differences in deformable image registration (DIR) an...
Purpose: This work aims at investigating intensity corrected cone-beam x-ray computed tomography (CB...
Purpose: This work aims at investigating intensity corrected cone-beam x-ray computed tomography (CB...
International audiencePurpose:This work aims at investigating intensity corrected cone-beam x-ray co...
International audiencePurpose:This work aims at investigating intensity corrected cone-beam x-ray co...
International audiencePurpose:This work aims at investigating intensity corrected cone-beam x-ray co...
Purpose: This work aims at investigating intensity corrected cone-beam x-ray computed tomography (CB...
Purpose: To use quantitative (contouring variability) and qualitative (image quality) means to evalu...
Purpose: This study aimed to evaluate the clinical utility of a novel iterative cone beam computed t...
Purpose: This study aimed to evaluate the clinical utility of a novel iterative cone beam computed t...
Purpose: To use quantitative (contouring variability) and qualitative (image quality) means to evalu...
Purpose: To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulat...
Purpose/Objective(s): We perform quantitative analysis of differences in deformable image registrati...
Purpose: A novel iterative CBCT reconstruction algorithm using patientspecific scatter corrections h...
Purpose: A novel iterative CBCT reconstruction algorithm using patientspecific scatter corrections h...
PURPOSE: We performed quantitative analysis of differences in deformable image registration (DIR) an...
Purpose: This work aims at investigating intensity corrected cone-beam x-ray computed tomography (CB...
Purpose: This work aims at investigating intensity corrected cone-beam x-ray computed tomography (CB...
International audiencePurpose:This work aims at investigating intensity corrected cone-beam x-ray co...
International audiencePurpose:This work aims at investigating intensity corrected cone-beam x-ray co...
International audiencePurpose:This work aims at investigating intensity corrected cone-beam x-ray co...
Purpose: This work aims at investigating intensity corrected cone-beam x-ray computed tomography (CB...
Purpose: To use quantitative (contouring variability) and qualitative (image quality) means to evalu...
Purpose: This study aimed to evaluate the clinical utility of a novel iterative cone beam computed t...
Purpose: This study aimed to evaluate the clinical utility of a novel iterative cone beam computed t...
Purpose: To use quantitative (contouring variability) and qualitative (image quality) means to evalu...
Purpose: To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulat...