Clinical Application of a Semiautomatic 3D Fusion Tool Where Automatic Fusion Techniques Are Difficult to Use

  • M. E. Noz
  • G. Q. MaguireJr.
  • M. P. Zeleznik
  • L. Olivecrona
  • H. Olivecrona
  • L. Axel
  • M. B. Srichai
  • L. Moy
  • A. Murphy-Walcott
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4057)


The purpose of this paper is to demonstrate the clinical advantages of using semiautomatic volume registration where automatic registration is problematic due to large deformations, small bone anatomy, or extraneous structures. Examples are drawn from clinical cases of MRI/PET breast studies, CT angiography/SPECT cardiac studies, and total wrist arthroplasty. These types of studies should be contrasted with those involving the head, thorax, and pelvis where there is much less deformation and the existence of (some) large bones facilitates automatic matching.


Positron Emission Tomography Compute Tomography Angiography Medical Image Analysis Automatic Registration Coronary Artery Tree 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • M. E. Noz
    • 1
  • G. Q. MaguireJr.
    • 2
  • M. P. Zeleznik
    • 3
  • L. Olivecrona
    • 4
  • H. Olivecrona
    • 5
  • L. Axel
    • 1
  • M. B. Srichai
    • 1
  • L. Moy
    • 1
  • A. Murphy-Walcott
    • 1
  1. 1.Dept. of RadiologyNew York University School of MedicineNew YorkUSA
  2. 2.School of Information and Communication TechnologyRoyal Institute of TechnologyKistaSweden
  3. 3.RAHD Oncology ProductsSt. LouisUSA
  4. 4.Dept. of RadiologyKarolinska HospitalStockholmSweden
  5. 5.Dept. of OrthopedicsKarolinska HospitalStockholmSweden

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