Prediction of abdominal viscera and tumour positions during free breathing is a major
challenge from which several medical applications could benefit. For instance, in …

Purpose: Predicting complex patterns of respiration can benefit the management of the
respiratory motion for radiation therapy of lung cancer. The purpose of the present work was …

We present a framework that combines evolutionary optimisation, soft tissue modelling and
ray tracing on GPU to simultaneously compute the respiratory motion and X-ray imaging in …

During respiration, the expansion and contraction of the chest and abdomen are coupled
with each other, presenting a complex torso movement pattern. A finite element (FE) model …

Tumour motion is an essential source of error for treatment planning in radiation therapy.
This motion is mostly due to patient respiration. To account for tumour motion, we propose a …

The use of simulation to train skills has grown exponentially in the last few decades,
especially in medicine, where simulator models can provide a platform where trainees can …

The success of radiotherapy treatment could be compromised by motion. Lung tumours are
particularly concerned by this problem because their positions are subject to breathing …

Purpose Organ motion due to patient breathing introduces a technical challenge for
dosimetry and lung tumor treatment by hadron therapy. Accurate dose distribution estimation …

To reduce the side effects and to improve the efficiency of radiation therapy in lung cancer, a
pinpoint radiation therapy system is under development. In the system, the movement of …

Prediction of abdominal organ positions during free breathing is a major challenge from
which several medical applications could benefit. For instance, in radiotherapy it would …