title: Head and neck lymph node region delineation with image registration.
abstract: BACKGROUND
  The success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can compute a contour set defining a target volume on a set of patient images will contribute greatly to the success of radiation therapy and dramatically reduce the workload of radiation oncologists, who currently draw the target by hand on the images using simple computer drawing tools. The most challenging part of this process is to estimate where there is microscopic spread of disease.
  
  
  METHODS
  Given a set of reference CT images with "gold standard" lymph node regions drawn by the experts, we are proposing an image registration based method that could automatically contour the cervical lymph code levels for patients receiving radiation therapy. We are also proposing a method that could help us identify the reference models which could potentially produce the best results.
  
  
  RESULTS
  The computer generated lymph node regions are evaluated quantitatively and qualitatively.
  
  
  CONCLUSIONS
  Although not conforming to clinical criteria, the results suggest the technique has promise.
authors.affiliation: School of Technology, Brigham Young University, Provo, UT, USA. ccteng@byu.edu
authors.forename: Chia-Chi
authors.initials: CC
authors.lastname: Teng
authors.forename: Linda G
authors.initials: LG
authors.lastname: Shapiro
authors.forename: Ira J
authors.initials: IJ
authors.lastname: Kalet
mesh_terms: D006258:Head and Neck Neoplasms / Q000000981:diagnostic imaging* / Q000532:radiotherapy; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008198:Lymph Nodes / Q000000981:diagnostic imaging*; D011786:Quality Control; D012015:Reference Standards; D014057:Tomography, X-Ray Computed / Q000592:standards