Mass Preserving Mappings and Image Registration

  • Steven Haker
  • Allen Tannenbaum
  • Ron Kikinis
Conference paper

DOI: 10.1007/3-540-45468-3_15

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2208)
Cite this paper as:
Haker S., Tannenbaum A., Kikinis R. (2001) Mass Preserving Mappings and Image Registration. In: Niessen W.J., Viergever M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg

Abstract

Image registration is the process of establishing a common geometric reference frame between two or more data sets from the same or different imaging modalities possibly taken at different times. In the context of medical imaging and in particular image guided therapy, the registration problem consists of finding automated methods that align multiple data sets with each other and with the patient. In this paper we propose a method of mass preserving elastic registration based on the Monge-Kantorovich problem of optimal mass transport.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Steven Haker
    • 1
  • Allen Tannenbaum
    • 2
  • Ron Kikinis
    • 1
  1. 1.Department of RadiologySurgical Planning Laboratory Brigham and Women’s HospitalBostonUSA
  2. 2.Departments of Electrical and Computer and Biomedical EngineeringGeorgia Institute of TechnologyAtlantaUSA

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