Registration of ultrasound images using an information-theoretic feature detector
Document Type
Conference Proceeding
Publication Date
11-27-2007
Abstract
In this paper, we present a new method for ultrasound image registration. For each image to be registered, our method first applies an ultrasound-specific information-theoretic feature detector, which is based on statistical modeling of speckle and provides a feature image that robustly delineates important edges in the image. These feature images are then registered using differential equations, the solution of which provides a locally optimal transformation that brings the images into alignment. We describe our method and present experimental results demonstrating its effectiveness, particularly for low contrast, speckled images. Furthermore, we compare our method to standard gradient-based techniques, which we show are more susceptible to misregistration. © 2007 IEEE.
Identifier
36349025796 (Scopus)
ISBN
[1424406722, 9781424406722]
Publication Title
2007 4th IEEE International Symposium on Biomedical Imaging from Nano to Macro Proceedings
External Full Text Location
https://doi.org/10.1109/ISBI.2007.356957
First Page
736
Last Page
739
Recommended Citation
Zhe, Wang; Slabaugh, Greg; Unal, Gozde; and Tong, Fang, "Registration of ultrasound images using an information-theoretic feature detector" (2007). Faculty Publications. 13246.
https://digitalcommons.njit.edu/fac_pubs/13246
