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3D Human Hip Volume Reconstruction with Incomplete Multimodal Medical Images

Application to Computer-Assisted Surgery for Total Hip Replacement (THR)
  • Miriam Amavizca
  • Christian Laugier
  • Emmanuel Mazer
  • Juan Manuel Ahuactzin
  • Francois Leitner
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 46)

Introduction

This work is within the context of Computer-assisted Orthopaedic Surgery (CAOS), in particular Total Hip Replacement (THR) surgery.

“Computer-assisted Surgery (CAS) has the aim of assisting surgeons in their therapeutic efforts to be as exact and minimally invasive as possible”(Corbillon, 2002). CAS is an interdisciplinary research area; it uses many sources of information, devices, computer techniques and clinics. In the past, medical imagery was only used for diagnosis and pathology localization. Today, image processing and computer-assisted surgery systems help surgeons to improve their perception and action capabilities.“Medical image processing makes possible the acquisition of a numerical model of reality. In surgery, this corresponds to a replica of the patient’s anatomy”(Corbillon, 2002).

Keywords

Rigid Body Echographic Image Radiographic Image Multivariate Normal Distribution Echographic Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Miriam Amavizca
    • 1
  • Christian Laugier
    • 1
  • Emmanuel Mazer
    • 2
  • Juan Manuel Ahuactzin
    • 2
  • Francois Leitner
    • 3
  1. 1.French National Institute for Research in Computer Science and Control (INRIA Rhone-Alpes)  
  2. 2.ProBayes S.A.S. 
  3. 3.AESCULAP B-BRAUN 

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