Paper Info
Title
Mmse Reconstruction For 3d Ultrasound Images
Abstract
The reconstruction of 3D ultrasound (US) images from a set of irregularly spaced B-scans is of great interest in clinic procedures. Due to the presence of speckle, a form of multiplicative noise, 3D US reconstruction for high image quality data is a difficult task. Conventional reconstruction algorithms have low Computational complexity but the reconstructed Volume Suffers from severe speckle contamination. In this paper, we propose a novel reconstruction method, which is optimal in minimum mean-squared error (MMSE) sense with a multiplicative noise model. Simulation results for synthetic US images, as well as experimental data are presented.
Year
DOI
Venue
2004
10.1109/ICIP.2004.1421384
ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5
Keywords
Field
DocType
multiplicative noise,image reconstruction,computational complexity,minimum mean square error,image quality,interpolation,speckle
Iterative reconstruction,Computer vision,Speckle pattern,Pattern recognition,Experimental data,Computer science,Interpolation,Image quality,Artificial intelligence,3D ultrasound,Multiplicative noise,Computational complexity theory
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Wei Huang1162.95
Yibin Zheng23815.13
Janelle A. Molloy341.42