Adaptive proton therapy
Radiation therapy treatments are typically planned based on a single image set, assuming
that the patient's anatomy and its position relative to the delivery system remains constant …
that the patient's anatomy and its position relative to the delivery system remains constant …
Radiomics and deep learning in nasopharyngeal carcinoma: a review
Z Wang, M Fang, J Zhang, L Tang… - IEEE Reviews in …, 2023 - ieeexplore.ieee.org
Nasopharyngeal carcinoma is a common head and neck malignancy with distinct clinical
management compared to other types of cancer. Precision risk stratification and tailored …
management compared to other types of cancer. Precision risk stratification and tailored …
Cone-beam CT image quality improvement using Cycle-Deblur consistent adversarial networks (Cycle-Deblur GAN) for chest CT imaging in breast cancer patients
HJ Tien, HC Yang, PW Shueng, JC Chen - Scientific reports, 2021 - nature.com
Cone-beam computed tomography (CBCT) integrated with a linear accelerator is widely
used to increase the accuracy of radiotherapy and plays an important role in image-guided …
used to increase the accuracy of radiotherapy and plays an important role in image-guided …
Evaluation of a cycle-generative adversarial network-based cone-beam CT to synthetic CT conversion algorithm for adaptive radiation therapy
M Eckl, L Hoppen, GR Sarria, J Boda-Heggemann… - Physica Medica, 2020 - Elsevier
Purpose Image-guided radiation therapy could benefit from implementing adaptive radiation
therapy (ART) techniques. A cycle-generative adversarial network (cycle-GAN)-based cone …
therapy (ART) techniques. A cycle-generative adversarial network (cycle-GAN)-based cone …
[HTML][HTML] A survey of practice patterns for adaptive particle therapy for interfractional changes
Background and purpose Anatomical changes may compromise the planned target
coverage and organs-at-risk dose in particle therapy. This study reports on the practice …
coverage and organs-at-risk dose in particle therapy. This study reports on the practice …
Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy
Background Time‐resolved 4D cone beam–computed tomography (4D‐CBCT) allows a
daily assessment of patient anatomy and respiratory motion. However, 4D‐CBCTs suffer …
daily assessment of patient anatomy and respiratory motion. However, 4D‐CBCTs suffer …
[HTML][HTML] An online adaptive plan library approach for intensity modulated proton therapy for head and neck cancer
Background and purpose In intensity modulated proton therapy (IMPT), the impact of setup
errors and anatomical changes is commonly mitigated by robust optimization with …
errors and anatomical changes is commonly mitigated by robust optimization with …
[HTML][HTML] Clinical evaluation of synthetic computed tomography methods in adaptive proton therapy of lung cancer patients
VT Taasti, D Hattu, S Peeters, A van der Salm… - Physics and Imaging in …, 2023 - Elsevier
Background and purpose Efficient workflows for adaptive proton therapy are of high
importance. This study evaluated the possibility to replace repeat-CTs (reCTs) with synthetic …
importance. This study evaluated the possibility to replace repeat-CTs (reCTs) with synthetic …
[HTML][HTML] Evaluation of CBCT based dose calculation in the thorax and pelvis using two generic algorithms
RS Thing, R Nilsson, S Andersson, M Berg, MD Lund - Physica Medica, 2022 - Elsevier
Purpose: This work examines the dosimetric performance of two algorithms creating a
corrected CBCT (corrCBCT) and a virtual CT (vCT) implemented in a commercial treatment …
corrected CBCT (corrCBCT) and a virtual CT (vCT) implemented in a commercial treatment …
Cone beam CT (CBCT) based synthetic CT generation using deep learning methods for dose calculation of nasopharyngeal carcinoma radiotherapy
X Xue, Y Ding, J Shi, X Hao, X Li, D Li… - … in Cancer Research …, 2021 - journals.sagepub.com
Objective: To generate synthetic CT (sCT) images with high quality from CBCT and planning
CT (pCT) for dose calculation by using deep learning methods. Methods: 169 NPC patients …
CT (pCT) for dose calculation by using deep learning methods. Methods: 169 NPC patients …