The modeling of respiratory motion is important for a more accurate understanding and
accounting of its effect on dose to cancers in the thorax and abdomen by radiotherapy. We …

Respiratory motion can vary dramatically between the planning stage and the different
fractions of radiotherapy treatment. Motion predictions used when constructing the …

Purpose: Four‐dimensional computed tomography (4D CT) images have been recently
adopted in radiation treatment planning for thoracic and abdominal cancers to explicitly …

Respiratory motion causes errors when planning and delivering radiotherapy treatment to
lung cancer patients. To reduce these errors, methods of acquiring and using four …

Four‐dimensional (4D) radiotherapy is the explicit inclusion of the temporal changes in
anatomy during the imaging, planning, and delivery of radiotherapy. Temporal anatomic …

Purpose: Respiratory motion modeling of both tumor and surrounding tissues is a key
element in minimizing errors and uncertainties in radiation therapy. Different continuous …

Purpose: Four-dimensional (4D) respiration-correlated imaging techniques can be used to
obtain (respiration) artifact-free computed tomography (CT) images of the thorax. Current …

A main challenge in radiotherapy is to precisely take into account organs deformation and
motion in order to adapt the treatment to each patient. This is particularly important in lung …

Purpose: An accurate model of breathing motion under quiet respiration is desirable to
obtain the most accurate and conformal dose distributions for mobile lung cancer lesions …

Development and optimization of methods for adequately accounting for respiratory motion
in radiation therapy of thoracic tumors require detailed knowledge of respiratory dynamics …