Paper Info
Title
A coarse-to-fine IP-driven registration for pose estimation from single ultrasound image
Abstract
A fast registration making use of implicit polynomial (IP) models is helpful for the real-time pose estimation from single clinical free-hand Ultrasound (US) image, because it is superior in the areas such as robustness against image noise, fast registration without enquiring correspondences, and fast IP coefficient transformation. However it might lead to the lack of accuracy or failure registration. In this paper, we present a novel registration method based on a coarse-to-fine IP representation. The approach starts from a high-speed and reliable registration with a coarse (of low degree) IP model and stops when the desired accuracy is achieved by a fine (of high degree) IP model. Over the previous IP-to-point based methods our contributions are: (i) keeping the efficiency without requiring pair-wised correspondences, (ii) enhancing the robustness, and (iii) improving the accuracy. The experimental result demonstrates the good performance of our registration method and its capabilities of overcoming the limitations of unconstrained freehand ultrasound data, resulting in fast, robust and accurate registration.
Year
DOI
Venue
2013
10.1016/j.cviu.2013.01.015
Computer Vision and Image Understanding
Keywords
Field
DocType
high degree,ip coefficient transformation,failure registration,coarse-to-fine ip representation,reliable registration,novel registration method,registration method,fast registration,single ultrasound image,accurate registration,ip model,coarse-to-fine ip-driven registration,pose estimation
Computer vision,Polynomial,Computer science,Image noise,Robustness (computer science),Pose,Artificial intelligence,Ultrasound image
Journal
Volume
Issue
ISSN
117
12
1077-3142
Citations 
PageRank 
References 
4
0.38
22
Authors
5
Name
Order
Citations
PageRank
Bo Zheng115913.62
Ryo Ishikawa2233.76
Jun Takamatsu328051.47
T. Oishi416116.16
Katsushi Ikeuchi54651881.49