Share Email Print
cover

Proceedings Paper

Fast simulated annealing and adaptive Monte Carlo sampling based parameter optimization for dense optical-flow deformable image registration of 4DCT lung anatomy
Author(s): Tai H. Dou; Yugang Min; John Neylon; David Thomas; Patrick Kupelian; Anand P. Santhanam
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Deformable image registration (DIR) is an important step in radiotherapy treatment planning. An optimal input registration parameter set is critical to achieve the best registration performance with the specific algorithm. Methods

In this paper, we investigated a parameter optimization strategy for Optical-flow based DIR of the 4DCT lung anatomy. A novel fast simulated annealing with adaptive Monte Carlo sampling algorithm (FSA-AMC) was investigated for solving the complex non-convex parameter optimization problem. The metric for registration error for a given parameter set was computed using landmark-based mean target registration error (mTRE) between a given volumetric image pair. To reduce the computational time in the parameter optimization process, a GPU based 3D dense optical-flow algorithm was employed for registering the lung volumes.

Numerical analyses on the parameter optimization for the DIR were performed using 4DCT datasets generated with breathing motion models and open-source 4DCT datasets.

Results showed that the proposed method efficiently estimated the optimum parameters for optical-flow and closely matched the best registration parameters obtained using an exhaustive parameter search method.

Paper Details

Date Published: 18 March 2016
PDF: 18 pages
Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 97860N (18 March 2016); doi: 10.1117/12.2217194
Show Author Affiliations
Tai H. Dou, Univ. of California, Los Angeles (United States)
Yugang Min, Univ. of California, Los Angeles (United States)
John Neylon, Univ. of California, Los Angeles (United States)
David Thomas, Univ. of California, Los Angeles (United States)
Patrick Kupelian, Univ. of California, Los Angeles (United States)
Anand P. Santhanam, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 9786:
Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Ziv R. Yaniv, Editor(s)

© SPIE. Terms of Use
Back to Top