Accession Number:

ADA409208

Title:

Hybrid Optimization for Ultrasound and Multimodal Image Registration

Descriptive Note:

Corporate Author:

LOUISVILLE UNIV KY COMPUTER SCIENCE AND ENGINEERING

Report Date:

2001-10-25

Pagination or Media Count:

5.0

Abstract:

Optimization of similarly metrics is an important component of many biomedical image registration applications that greatly affects registration outcome, Selection of an optimization approach is dependent on the modalities being registered, the characteristics of the similarly function, and available computational resources, This paper addresses optimization approaches for 2D and 3D rigid body intra- and multimodal ultrasound registration, Stochastic and direct techniques are compared for mutual information and correlation ratio functions, A new directstochastic hybrid approach based on the tabu search is also proposed, Visualization and experimental results suggest the usefulness of such an approach, Results also show that the tabu hybrid technique compares favorably with traditional techniques, based on accuracy and number of function evaluations,

Subject Categories:

  • Optics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE