Artificial intelligence for image registration in radiation oncology
Automatic image registration plays an important role in many aspects of the radiation
oncology workflow ranging from treatment simulation, image guided and adaptive …
oncology workflow ranging from treatment simulation, image guided and adaptive …
Artificial intelligence for treatment delivery: image-guided radiotherapy
Radiation therapy (RT) is a highly digitized field relying heavily on computational methods
and, as such, has a high affinity for the automation potential afforded by modern artificial …
and, as such, has a high affinity for the automation potential afforded by modern artificial …
Enhancing the target visibility with synthetic target specific digitally reconstructed radiograph for intrafraction motion monitoring: A proof‐of‐concept study
Background Intrafraction motion monitoring in External Beam Radiation Therapy (EBRT) is
usually accomplished by establishing a correlation between the tumor and the surrogates …
usually accomplished by establishing a correlation between the tumor and the surrogates …
Prostate segmentation accuracy using synthetic MRI for high-dose-rate prostate brachytherapy treatment planning
Objective. Both computed tomography (CT) and magnetic resonance imaging (MRI) images
are acquired for high-dose-rate (HDR) prostate brachytherapy patients at our institution. CT …
are acquired for high-dose-rate (HDR) prostate brachytherapy patients at our institution. CT …
Markerless motion tracking with simultaneous MV and kV imaging in spine SBRT treatment—a feasibility study
Objective. Motion tracking with simultaneous MV-kV imaging has distinct advantages over
single kV systems. This research is a feasibility study of utilizing this technique for spine …
single kV systems. This research is a feasibility study of utilizing this technique for spine …
Generative adversarial networks for spine imaging: A critical review of current applications
K Vrettos, E Koltsakis, AH Zibis, AH Karantanas… - European Journal of …, 2024 - Elsevier
Purpose In recent years, the field of medical imaging has witnessed remarkable
advancements, with innovative technologies which revolutionized the visualization and …
advancements, with innovative technologies which revolutionized the visualization and …
[HTML][HTML] Deep learning-based target tracking with X-ray images for radiotherapy: a narrative review
Methods Manual searches of the Web of Science, and PubMed, and Google Scholar were
carried out to retrieve English-language articles. The keywords used in the searches …
carried out to retrieve English-language articles. The keywords used in the searches …
Artificial intelligence‐based motion tracking in cancer radiotherapy: A review
Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring
organs at risk (OARs). Increasingly complex treatment techniques such as volumetric …
organs at risk (OARs). Increasingly complex treatment techniques such as volumetric …
Deep learning‐based target decomposition for markerless lung tumor tracking in radiotherapy
Background In radiotherapy, real‐time tumor tracking can verify tumor position during beam
delivery, guide the radiation beam to target the tumor, and reduce the chance of a geometric …
delivery, guide the radiation beam to target the tumor, and reduce the chance of a geometric …
Automatic stent recognition using perceptual attention U‐net for quantitative intrafraction motion monitoring in pancreatic cancer radiotherapy
Purpose Stent has often been used as an internal surrogate to monitor intrafraction tumor
motion during pancreatic cancer radiotherapy. Based on the stent contours generated from …
motion during pancreatic cancer radiotherapy. Based on the stent contours generated from …