Registration of bone structures in 3D ultrasound and CT data: comparison of different optimization strategies

Susanne Winter*, Bernhard Brendel, Christian Igel

*Corresponding author for this work
11 Citations (Scopus)

Abstract

We developed a fast and robust algorithm to register intraoperative three-dimensional ultrasound data of the spine with preoperative CT data. We compared different gradient-based and evolutionary optimization strategies for solving the registration problem. The iRprop, a fast gradient-based optimization algorithm, quickly and reliably led to higher registration rates than the two established methods BFGS and conjugate gradient descent (CG). The Covariance Matrix Adaptation evolution strategy (CMA) yielded the best results concerning registration rate and accuracy but at the cost of a slightly higher number of evaluations of the optimization criterion compared to CG and iRprop. The CMA was able to register patient data starting from a realistic misalignment in 98% of the trials in about 15 s per registration.

Original languageEnglish
JournalInternational Congress Series
Volume1281
Pages (from-to)242-247
Number of pages6
ISSN0531-5131
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event19th International Congress and Exhibition on Computer Assisted Radiology and Surgery - Berlin, Germany
Duration: 22 Jun 200525 Jun 2005
Conference number: 19

Conference

Conference19th International Congress and Exhibition on Computer Assisted Radiology and Surgery
Number19
Country/TerritoryGermany
CityBerlin
Period22/06/200525/06/2005

Keywords

  • Evolutionary optimization
  • Image registration
  • Spine
  • Ultrasound

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