Biomechanically Based Elastic Breast Registration Using Mass Tensor Simulation

  • Liesbet Roose
  • Wouter Mollemans
  • Dirk Loeckx
  • Frederik Maes
  • Paul Suetens
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)


We present a new approach for the registration of breast MR images, which are acquired at different time points for observation of lesion evolution. In this registration problem, it is of utmost importance to correct only for differences in patient positioning and to preserve other diagnostically important differences between both images, resulting from anatomical and pathological changes between both acquisitions. Classical free form deformation algorithms are therefore less suited, since they allow too large local volume changes and their deformation is not biomechanically based. Instead of adding constraints or penalties to these methods in order to restrict unwanted deformations, we developed a truly biomechanically based registration method where the position of skin and muscle surface are used as the only boundary conditions. Results of our registration method show an important improvement in correspondence between the reference and the deformed floating image, without introducing physically implausible deformations and within a short computational time.


Reference Image Image Registration Machine Accuracy Pectoralis Major Muscle Rigid Registration 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Liesbet Roose
    • 1
  • Wouter Mollemans
    • 1
  • Dirk Loeckx
    • 1
  • Frederik Maes
    • 1
  • Paul Suetens
    • 1
  1. 1.Medical Image Computing (Radiology – ESAT/PSI), Faculties of Medicine and EngineeringUniversity Hospital, GasthuisbergLeuvenBelgium

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