More than 50% of cancer patients are treated with radiotherapy, either exclusively or in
combination with other methods. The planning and delivery of radiotherapy treatment is a …

Background Endovascular embolization is an effective treatment option for cerebral
arteriovenous malformations (AVMs) and dural arteriovenous fistulas (DAVFs). A variety of …

Sparse-view computed tomography (SVCT) aims to reconstruct a cross-sectional image
using a reduced number of x-ray projections. While SVCT can efficiently reduce the radiation …

Background Cervical cancer is the fifth most common cancer among women, which is the
third leading cause of cancer death in women worldwide. Brachytherapy is the most effective …

Artifacts in computed tomography (CT) and magnetic resonance imaging (MRI) due to
titanium implants in spine surgery are known to cause difficulties in follow-up imaging …

Pre-treatment CT imaging is a topic of growing importance in particle therapy. Improvements
in the accuracy of stopping-power prediction are demanded to allow for a dose conformality …

To reduce the potential risk of radiation to the patient, low-dose computed tomography
(LDCT) has been widely adopted in clinical practice for reconstructing cross-sectional …

Abstract Machine learning and deep learning are rapidly finding applications in the medical
imaging field. In this paper, we address the long-standing problem of metal artifacts in …

Over the past decade, spectral or dual‐energy CT has gained relevancy, especially in
oncological radiology. Nonetheless, its use in the radiotherapy (RT) clinic remains limited …

The presence of metal objects leads to corrupted CT projection measurements, resulting in
metal artifacts in the reconstructed CT images. AI promises to offer improved solutions to …