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Registration of MR to Percutaneous Ultrasound of the Spine for Image-Guided Surgery

  • Lars Eirik BøEmail author
  • Rafael Palomar
  • Tormod Selbekk
  • Ingerid Reinertsen
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 17)

Abstract

One of the main limitations of today’s navigation systems for spine surgery is that they often are not available until after the bone surface has been exposed. Also, they lack the capability of soft tissue imaging, both preoperatively and intraoperatively. The use of ultrasound has been proposed to overcome these limitations. By registering preoperative magnetic resonance (MR) images to intraoperative percutaneous ultrasound images, navigation can start even before incision. We therefore present a method for registration of MR images to ultrasound images of the spine. The method is feature-based and consists of two steps: segmentation of the bone surfaces from both the ultrasound images and the MR images, followed by rigid registration using a modified version of the Iterative Closest Point algorithm. The method was tested on data from a healthy volunteer, and the data set was successfully segmented and registered with an accuracy of \(3.67\pm 0.38\) mm.

Keywords

Ultrasound Image Bone Surface Active Contour Iterative Close Point Unscented Kalman Filter 
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.

Notes

Acknowledgments

The work was funded through the user-driven research-based innovation project VIRTUS (The Research Council of Norway Grant No. 219326, SonoWand AS) and through a PhD grant from the Liaison Committee between the Central Norway Regional Health Authority (RHA) and the Norwegian University of Science and Technology.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Lars Eirik Bø
    • 1
    • 2
    • 3
    Email author
  • Rafael Palomar
    • 4
  • Tormod Selbekk
    • 1
  • Ingerid Reinertsen
    • 1
    • 2
  1. 1.Department of Medical TechnologySINTEF Technology and SocietyTrondheimNorway
  2. 2.Department of Circulation and Medical ImagingNorwegian University of Science and TechnologyTrondheimNorway
  3. 3.The Central Norway Regional Health AuthorityTrondheimNorway
  4. 4.The Intervention CentreOslo University HospitalOsloNorway

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