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Fast 2D-3D Point-Based Registration Using GPU-Based Preprocessing for Image-Guided Surgery

  • Helen Hong
  • Kyehyun Kim
  • Seongjin Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)

Abstract

We propose a 2D-3D point-based registration method that provides fast and efficient alignment of X-ray fluoroscopy and CT images. Our method is divided into two procedures: pre-operative and intra-operative procedures. For pre-operative procedures, we generate digitally reconstructed radiographs (DRRs) from 3D volume using graphics hardware. In intra-operative procedures, we perform a hierarchical registration that includes in-plane registration using principal axes method and out-plane registration using minimal error searching method in spherical coordinates. This method reduces a degree of freedom from 6-DOF to 2-DOF. Experimental results using 2 cardiac phantoms show that our DRRs generation method is more than 150 times faster than software-based ray casting methods, and our hierarchical registration technique effectively matches DRRs and 2D images.

Keywords

Graphic Processing Unit Graphic Hardware Compute Tomography Volume Average Intensity Projection Marker Segmentation 
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

  • Helen Hong
    • 1
  • Kyehyun Kim
    • 2
  • Seongjin Park
    • 2
  1. 1.Division of Multimedia Engineering, College of Information and MediaSeoul Women’s UniversitySeoulKorea
  2. 2.School of Computer Science and EngineeringSeoul National UniversitySeoulKorea

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