DocumentCode :
1512265
Title :
Two-dimensional noise-robust blind deconvolution of ultrasound images
Author :
Taxt, Torfinn ; Strand, Jarle
Author_Institution :
Sect. for Med. Image Analysis & Inf., Bergen Univ., Norway
Volume :
48
Issue :
4
fYear :
2001
fDate :
7/1/2001 12:00:00 AM
Firstpage :
861
Lastpage :
866
Abstract :
This paper presents a new method for 2-D blind homomorphic deconvolution of medical B-scan ultrasound images. The method is based on noise-robust 2-D phase unwrapping and a noise-robust procedure to estimate the pulse in the complex cepstrum domain. Ordinary Wiener filtering is used in the subsequent deconvolution. The resulting images became much sharper with better defined tissue structures compared with the ordinary images. The deconvolved images had a resolution gain of the order of 3 to 7, and the signal-to-noise ratio (SNR) doubled for many of the images used in our experiments. The method gave stable results with respect to noise and gray levels through several image sequences.
Keywords :
Wiener filters; biomedical ultrasonics; cepstral analysis; deconvolution; image sequences; Wiener filtering; complex cepstrum domain; gray levels; image sequences; medical B-scan ultrasound images; noise-robust 2-D phase unwrapping; resolution gain; signal-to-noise ratio; tissue structures; two-dimensional noise-robust blind deconvolution; ultrasound images; Biomedical imaging; Cepstrum; Deconvolution; Image resolution; Noise robustness; Phase estimation; Signal resolution; Signal to noise ratio; Ultrasonic imaging; Wiener filter; Adult; Biomedical Engineering; Female; Humans; Image Processing, Computer-Assisted; Kidney; Phantoms, Imaging; Pyloric Antrum; Ultrasonography; Ultrasonography, Mammary;
fLanguage :
English
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-3010
Type :
jour
DOI :
10.1109/58.935701
Filename :
935701
Link To Document :
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