Evaluation on similarity measures of a surface-to-image registration technique for ultrasound images

Authors:
Wei Shao;Ruoyun Wu;Keck Voon Ling;Choon Hua Thng;Henry Sun Sien Ho;Christopher Wai Sam Cheng;Wan Sing Ng
Affiliations:
School of Electrical and Electronic Engineering, Nanyang Technological University;Clinical Research Unit, Tan Tock Seng Hospital, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University;Department of Oncologic Imaging, National Cancer Centre, Singapore;Department of Urology, Singapore General Hospital, Singapore;Department of Urology, Singapore General Hospital, Singapore;School of Mechanical and Aerospace Engineering, Nanyang Technological University
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Year:
2006

Citing 4
Cited 0

A Method for Registration of 3-D Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
An introduction to genetic algorithms

An introduction to genetic algorithms
Generalized Correlation Ratio for Rigid Registration of 3D Ultrasound with MR Images

MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Dynamic 3D ultrasound and MR image registration of the beating heart

MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

Ultrasound is a universal guidance tool for many medical procedures, whereas it is of poor image quality and resolution. Merging high-contrast image information from other image modalities enhances the guidance capability of ultrasound. However, few registration methods work well for it. In this paper we present a surface-to-image registration technique for mono- or multimodal medical data concerning ultrasound. This approach is able to automatically register the object surface to its counterpart in image volume. Three similarity measurements are investigated in the rigid registration experiments of the pubic arch in transrectal ultrasound images. It shown that the selection of the similarity function is related to the ultrasound characteristics of the object to be registered.