title: Integrated segmentation and non-linear registration for organ segmentation and motion field estimation in 4D CT data.
abstract: OBJECTIVE
  The development of spatiotemporal tomographic imaging techniques allows the application of novel techniques for diagnosis and therapy in the medical routine. However, in consequence to the increasing amount of image data automatic methods for segmentation and motion estimation are required. In adaptive radiation therapy, registration techniques are used for the estimation of respiration-induced motion of pre-segmented organs. In this paper, a variational approach for the simultaneous computation of segmentations and a dense non-linear registration of the 3D images of the sequence is presented.
  
  
  METHODS
  In the presented approach, a variational region-based level set segmentation of the structures of interest is combined with a diffusive registration of the spatial images of the sequence. We integrate both parts by defining a new energy term, which allows us to incorporate mutual prior information in order to improve the segmentation as well as the registration quality.
  
  
  RESULTS
  The presented approach was utilized for the segmentation of the liver and the simultaneous estimation of its respiration-induced motion based on four-dimensional thoracic CT images. For the considered patients, we were able to improve the results of the segmentation and the motion estimation, compared to the conventional uncoupled methods.
  
  
  CONCLUSIONS
  Applied in the field of radiation therapy of thoracic tumors, the presented integrated approach turns out to be useful for simultaneous segmentation and registration by improving the results compared to the application of the methods independently.
authors: Department of Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. a.schmidt-richberg@uke.uni-hamburg.de
authors: A
authors: A
authors: Schmidt-Richberg
authors: H
authors: H
authors: Handels
authors: J
authors: J
authors: Ehrhardt
mesh_terms: D016477:Artifacts; D003198:Computer Simulation; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008099:Liver / Q000000981:diagnostic imaging; D009068:Movement; D009716:Numerical Analysis, Computer-Assisted; D019047:Phantoms, Imaging; D011860:Radiography, Abdominal; D013902:Radiography, Thoracic; D014057:Tomography, X-Ray Computed