MRI can help to categorize tissues as malignant or non-malignant both anatomically and
functionally, with a high level of spatial and temporal resolution. This non-invasive imaging …

Auto-contouring could revolutionise future planning of radiotherapy treatment. The lack of
consensus on how to assess and validate auto-contouring systems currently limits clinical …

This review article visits the current state of artificial intelligence (AI) in radiotherapy clinical
practice. We will discuss how AI has a place in the modern radiotherapy workflow at the …

Background Online adaptive radiation therapy (RT) using hybrid magnetic resonance linear
accelerators (MR‐Linacs) can administer a tailored radiation dose at each treatment fraction …

High quality radiation therapy requires highly accurate and precise dose delivery. MR-
guided radiotherapy (MRgRT), integrating an MRI scanner with a linear accelerator, offers …

MRI-guided radiotherapy (MRIgRT) is a highly complex treatment modality, allowing
adaptation to anatomical changes occurring from one treatment day to the other (inter …

Automatic image registration plays an important role in many aspects of the radiation
oncology workflow ranging from treatment simulation, image guided and adaptive …

Introduction The advent of image-guided radiation therapy (IGRT) has recently changed the
workflow of radiation treatments by ensuring highly collimated treatments. Artificial …

During radiotherapy, the organs and tumour move as a result of the dynamic nature of the
body; this is known as intrafraction motion. Intrafraction motion can result in tumour …

Purpose We developed a deep learning (DL) model for fast deformable image registration
using 2-dimensional sagittal cine magnetic resonance imaging (MRI) acquired during …