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 …
A review of deep learning-based deformable medical image registration
The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …
Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives
Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …
Artificial intelligence in radiotherapy
G Li, X Wu, X Ma - Seminars in Cancer Biology, 2022 - Elsevier
Radiotherapy is a discipline closely integrated with computer science. Artificial intelligence
(AI) has developed rapidly over the past few years. With the explosive growth of medical big …
(AI) has developed rapidly over the past few years. With the explosive growth of medical big …
A review of dose calculation approaches with cone beam CT in photon and proton therapy
V Giacometti, AR Hounsell, CK McGarry - Physica Medica, 2020 - Elsevier
Background and purpose The use of cone beam computed tomography (CBCT) for
performing dose calculations in radiation therapy has been widely investigated as it could …
performing dose calculations in radiation therapy has been widely investigated as it could …
Automatic segmentation using deep learning to enable online dose optimization during adaptive radiation therapy of cervical cancer
B Rigaud, BM Anderson, HY Zhiqian, M Gobeli… - International Journal of …, 2021 - Elsevier
Purpose This study investigated deep learning models for automatic segmentation to
support the development of daily online dose optimization strategies, eliminating the need …
support the development of daily online dose optimization strategies, eliminating the need …
[PDF][PDF] THE MODERN TECHNOLOGY OF RADIATION ONCOLOGY: A Compendium for Medical Physicists and Radiation Oncologists. Volume 4
J Van Dyk - Medical Physics, 2020 - mpijournal.org
THE MODERN TECHNOLOGY OF RADIATION ONCOLOGY: A Compendium for Medical
Physicists and Radiation Oncologists. Volume 4 Page 1 THE MODERN TECHNOLOGY OF …
Physicists and Radiation Oncologists. Volume 4 Page 1 THE MODERN TECHNOLOGY OF …
[HTML][HTML] Applicability and usage of dose mapping/accumulation in radiotherapy
Dose mapping/accumulation (DMA) is a topic in radiotherapy (RT) for years, but has not yet
found its widespread way into clinical RT routine. During the ESTRO Physics workshop …
found its widespread way into clinical RT routine. During the ESTRO Physics workshop …
[HTML][HTML] Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT
In radiation therapy, a CT image is used to manually delineate the organs and plan the
treatment. During the treatment, a cone beam CT (CBCT) is often acquired to monitor the …
treatment. During the treatment, a cone beam CT (CBCT) is often acquired to monitor the …
Comparison of CBCT‐based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning
A Barateau, R De Crevoisier, A Largent… - Medical …, 2020 - Wiley Online Library
Purpose Anatomical variations occur during head and neck (H&N) radiotherapy treatment.
kV cone‐beam computed tomography (CBCT) images can be used for daily dose monitoring …
kV cone‐beam computed tomography (CBCT) images can be used for daily dose monitoring …