PO-0934: Cardio-respiratory motion compensation for 5D thoracic CBCT in IGRT

Adaptive prediction of respiratory motion for motion compensation radiotherapy.

One potential application of image-guided radiotherapy is to track the target motion in real time, then deliver adaptive treatment to a dynamic target by dMLC tracking or respiratory gating. However, the existence of a finite time delay (or a system latency) between the image acquisition and the response of the treatment system to a change in tumour position implies that some kind of predictive...

Motion Estimation Model for Cardiac and Respiratory Motion Compensation

Catheter ablation is widely accepted as the best remaining option for the treatment of atrial fibrillation if drug therapy fails. Ablation procedures can be guided by 3-D overlay images projected onto live fluoroscopic X-ray images. These overlay images are generated from either MR, CT or C-Arm CT volumes. As the alignment of the overlay is often compromised by cardiac and respiratory motion, m...

Compensation of Respiratory Motion in Cardiac Imaging

Respiratory Motion Compensation with Topology Independent Surrogates

We present a method for organ motion compensation based on a statistical motion model. The novelty of our method is, that the surrogates for prediction can be independent of the model’s topology i.e. the surrogate signal does not have to correspond to a point of the motion model. By non-linear regression, we grasp the correlation between a captured signal during free breathing and the motion mo...

A multiple model approach to respiratory motion prediction for real-time IGRT.

Respiration induces significant movement of tumours in the vicinity of thoracic and abdominal structures. Real-time image-guided radiotherapy (IGRT) aims to adapt radiation delivery to tumour motion during irradiation. One of the main problems for achieving this objective is the presence of time lag between the acquisition of tumour position and the radiation delivery. Such time lag causes sign...