NDLI: A Wavelet-Based EM Algorithm for the Restoration of Medical Pulse-Echo Ultrasound Datasets

Content Provider	IEEE Xplore Digital Library
Author	Ng, J. K. H. Kingsbury, N. G. Gomersall, W. H.
Copyright Year	2007
Description	Author affiliation: Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK. Email: ngk@eng.cam.ac.uk (Kingsbury, N. G.) \|\| Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK. Email: whg21@eng.cam.ac.uk (Gomersall, W. H.) \|\| Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK. Email: jkhn2@eng.cam.ac.uk (Ng, J. K. H.)
Abstract	The application of pulse-echo ultrasound to anatomical imaging is well established, but despite the prevalence of this imaging modality in modern clinical practice, typical ultrasound images still suffer from blurring and poor resolution and there is significant scope for developing restoration algorithms to address this problem. As with other similar inverse problems, the design of an effective restoration algorithm is contingent on a good image model, and in this respect, the problem is challenging because the acoustic reflectivities of soft tissues have statistical characteristics that are substantially different to those of natural images studied in mainstream image processing. Whereas natural images tend to be piecewise-smooth and are well sparsified by a wavelet basis, the acoustic reflectivities of soft tissues exhibit piecewise-smoothness only on a macroscopic scale; on a microscopic scale, they exhibit a pseudo-random texture. Previously, we presented a simple model of acoustic reflectivity which could adequately account for this dual behaviour and we described a statistically-motivated restoration algorithm that simply alternated between Wiener filtering and dual-tree complex wavelet shrinkage [1]. Our previous results for two-dimensional images showed improved performance compared to other methods based on less sophisticated image models, and in this paper, we extend our algorithm to three-dimensional datasets to correct also for out-of-plane (elevational) blurring.
Starting Page	185
Ending Page	189
File Size	341004
Page Count	5
File Format	PDF
ISBN	9781424411979
DOI	10.1109/SSP.2007.4301244
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ultrasonic imaging Image restoration Acoustic reflection Biological tissues Biomedical imaging Image resolution Inverse problems Algorithm design and analysis Image processing Microscopy
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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