Spatiotemporal motion estimation for respiratory-correlated imaging of the lungs
Purpose: Four-dimensional computed tomography (4D CT) can provide patient-specific motion information for radiotherapy planning and delivery. Motion estimation in 4D CT is challenging due to the reduced image quality and the presence of artifacts. We aim to improve the robustness of deformable registration applied to respiratory-correlated imaging of the lungs, by using a global problem formulation and pursuing a restrictive parametrization for the spatiotemporal deformation model.
Keywords: deformable registration ; respiratory motion ; 4D Ct ; 4-Dimensional Computed-Tomography ; Deformable Registration ; Thoracic Radiotherapy ; Nonrigid Registration ; Organ Motion ; Mr-Images ; Ct ; Model ; Reconstruction ; Deformations
Record created on 2011-12-16, modified on 2016-08-09