PO-0884: Respiratory motion models from Cone-Beam CT for lung tumour tracking
نویسندگان
چکیده
منابع مشابه
Respiratory correlated cone beam CT.
A cone beam computed tomography (CBCT) scanner integrated with a linear accelerator is a powerful tool for image guided radiotherapy. Respiratory motion, however, induces artifacts in CBCT, while the respiratory correlated procedures, developed to reduce motion artifacts in axial and helical CT are not suitable for such CBCT scanners. We have developed an alternative respiratory correlated proc...
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This thesis details a variety of methods to build a surrogate-driven motion model from a cone-beam CT (CBCT) scan. The methods are intended to form a key constituent of a tracked RT treatment system, by providing a markerless means of tracking tumour and organs at risk (OAR) positions in real-time. The beam can then be adjusted to account for the respiratory motion of the tumour, whilst ensurin...
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The patient respiratory signal associated with the cone beam CT (CBCT) projections is important for lung cancer radiotherapy. In contrast to monitoring an external surrogate of respiration, such a signal can be extracted directly from the CBCT projections. In this paper, we propose a novel local principal component analysis (LPCA) method to extract the respiratory signal by distinguishing the r...
متن کاملRespiratory Motion Compensation Using Diaphragm Tracking for Cone-Beam C-Arm CT: A Simulation and a Phantom Study
Long acquisition times lead to image artifacts in thoracic C-arm CT. Motion blur caused by respiratory motion leads to decreased image quality in many clinical applications. We introduce an image-based method to estimate and compensate respiratory motion in C-arm CT based on diaphragm motion. In order to estimate respiratory motion, we track the contour of the diaphragm in the projection image ...
متن کاملRespiratory Signal Extraction for 4D CT Imaging of the Thorax from Cone-Beam CT Projections
Current methods of four-dimensional (4D) CT imaging of the thorax synchronise the acquisition with a respiratory signal to restrospectively sort acquired data. The quality of the 4D images relies on an accurate description of the position of the thorax in the respiratory cycle by the respiratory signal. Most of the methods used an external device for acquiring the respiratory signal. We propose...
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ژورنال
عنوان ژورنال: Radiotherapy and Oncology
سال: 2016
ISSN: 0167-8140
DOI: 10.1016/s0167-8140(16)32134-x