Medical physics challenges in clinical MR-guided radiotherapy
The integration of magnetic resonance imaging (MRI) for guidance in external beam
radiotherapy has faced significant research and development efforts in recent years. The …
radiotherapy has faced significant research and development efforts in recent years. The …
MR-guided proton therapy: a review and a preview
A Hoffmann, B Oborn, M Moteabbed, S Yan… - Radiation …, 2020 - Springer
Background The targeting accuracy of proton therapy (PT) for moving soft-tissue tumours is
expected to greatly improve by real-time magnetic resonance imaging (MRI) guidance. The …
expected to greatly improve by real-time magnetic resonance imaging (MRI) guidance. The …
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 …
[HTML][HTML] A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy
Abstract Background and purpose Artificial Intelligence (AI) models in radiation therapy are
being developed with increasing pace. Despite this, the radiation therapy community has not …
being developed with increasing pace. Despite this, the radiation therapy community has not …
Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy
MHF Savenije, M Maspero, GG Sikkes… - Radiation …, 2020 - Springer
Background Structure delineation is a necessary, yet time-consuming manual procedure in
radiotherapy. Recently, convolutional neural networks have been proposed to speed-up and …
radiotherapy. Recently, convolutional neural networks have been proposed to speed-up and …
Patient‐specific transfer learning for auto‐segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi‐centric evaluation
Background Online adaptive radiation therapy (RT) using hybrid magnetic resonance linear
accelerators (MR‐Linacs) can administer a tailored radiation dose at each treatment fraction …
accelerators (MR‐Linacs) can administer a tailored radiation dose at each treatment fraction …
Technical challenges of real-time adaptive MR-guided radiotherapy
D Thorwarth, DA Low - Frontiers in oncology, 2021 - frontiersin.org
In the past few years, radiotherapy (RT) has experienced a major technological innovation
with the development of hybrid machines combining magnetic resonance (MR) imaging and …
with the development of hybrid machines combining magnetic resonance (MR) imaging and …
Recent automatic segmentation algorithms of MRI prostate regions: a review
World-wide incidence rate of prostate cancer has progressively increased with time
especially with the increased proportion of elderly population. Early detection of prostate …
especially with the increased proportion of elderly population. Early detection of prostate …
[HTML][HTML] Uncertainty assessment for deep learning radiotherapy applications
CAT van den Berg, EF Meliadò - Seminars in Radiation Oncology, 2022 - Elsevier
In the last 5 years, deep learning applications for radiotherapy have undergone great
development. An advantage of radiotherapy over radiological applications is that data in …
development. An advantage of radiotherapy over radiological applications is that data in …
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 …