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Proceedings Paper

Comparison of optimization strategy and similarity metric in atlas-to-subject registration using statistical deformation model
Author(s): Y. Otake; R. J. Murphy; R. B. Grupp; Y. Sato; R. H. Taylor; M. Armand
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Paper 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.

Paper Details

Date Published: 18 March 2015
PDF: 6 pages
Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 94150Q (18 March 2015); doi: 10.1117/12.2081754
Show Author Affiliations
Y. Otake, Johns Hopkins Univ. (United States)
Nara Institute Science and Technology (Japan)
R. J. Murphy, Johns Hopkins Univ. Applied Physics Lab., LLC (United States)
R. B. Grupp, Johns Hopkins Univ. (United States)
Y. Sato, Nara Institute Science and Technology (Japan)
R. H. Taylor, Johns Hopkins Univ. (United States)
M. Armand, Johns Hopkins Univ. Applied Physics Lab., LLC (United States)


Published in SPIE Proceedings Vol. 9415:
Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Ziv R. Yaniv, Editor(s)

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