Internal Motion Estimation by Internal-external Motion Modeling for Lung Cancer Radiotherapy.

ABSTRACT: The aim of this study is to develop an internal-external correlation model for internal motion estimation for lung cancer radiotherapy. Deformation vector fields that characterize the internal-external motion are obtained by respectively registering the internal organ meshes and external surface meshes from the 4DCT images via a recently developed local topology preserved non-rigid point matching algorithm. A composite matrix is constructed by combing the estimated internal phasic DVFs with external phasic and directional DVFs. Principle component analysis is then applied to the composite matrix to extract principal motion characteristics, and generate model parameters to correlate the internal-external motion. The proposed model is evaluated on a 4D NURBS-based cardiac-torso (NCAT) synthe

SUBMITTER: Chen H 

PROVIDER: S-EPMC5829085 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature