Comparison of optimization strategy and similarity metric in atlas-to-subject registration using statistical deformation model

Y. Otake, R. J. Murphy, R. B. Grupp, Y. Sato, R. H. Taylor, M. Armand

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A robust atlas-to-subject registration using a statistical deformation model (SDM) is presented. The SDM uses statistics of voxel-wise displacement learned from pre-computed deformation vectors of a training dataset. This allows an atlas instance to be directly translated into an intensity volume and compared with a patient's intensity volume. Rigid and nonrigid transformation parameters were simultaneously optimized via the Covariance Matrix Adaptation - Evolutionary Strategy (CMA-ES), with image similarity used as the objective function. The algorithm was tested on CT volumes of the pelvis from 55 female subjects. A performance comparison of the CMA-ES and Nelder-Mead downhill simplex optimization algorithms with the mutual information and normalized cross correlation similarity metrics was conducted. Simulation studies using synthetic subjects were performed, as well as leave-one-out cross validation studies. Both studies suggested that mutual information and CMA-ES achieved the best performance. The leave-one-out test demonstrated 4.13 mm error with respect to the true displacement field, and 26, 102 function evaluations in 180 seconds, on average.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2015
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
EditorsRobert J. Webster, Ziv R. Yaniv
PublisherSPIE
ISBN (Electronic)9781628415056
DOIs
StatePublished - Jan 1 2015
EventMedical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling - Orlando, United States
Duration: Feb 22 2015Feb 24 2015

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9415
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
CountryUnited States
CityOrlando
Period2/22/152/24/15

Keywords

  • Atlas-to-subject registration
  • Evolutionary optimization
  • Statistical deformation model

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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