DocumentCode :
784404
Title :
Simplified inverse filter tracking algorithm for estimating the mean trabecular bone spacing
Author :
Huang, Kai ; Ta, Dean ; Wang, Weiqi ; Le, Lawrence H.
Author_Institution :
Dept. of Electron. Eng., Fudan Univ., Shanghai
Volume :
55
Issue :
7
fYear :
2008
fDate :
7/1/2008 12:00:00 AM
Firstpage :
1453
Lastpage :
1464
Abstract :
Ultrasonic backscatter signals provide useful information relevant to bone tissue characterization. Trabecular bone microstructures have been considered as quasi-periodic tissues with a collection of regular and diffuse scatterers. This paper investigates the potential of a novel technique using a simplified inverse filter tracking (SIFT) algorithm to estimate mean trabecular bone spacing (MTBS) from ultrasonic backscatter signals. In contrast to other frequency-based methods, the SIFT algorithm is a time-based method and utilizes the amplitude and phase information of backscatter echoes, thus retaining the advantages of both the autocorrelation and the cepstral analysis techniques. The SIFT algorithm was applied to backscatter signals from simulations, phantoms, and bovine trabeculae in vitro. The estimated MTBS results were compared with those of the autoregressive (AR) cepstrum and quadratic transformation (QT) . The SIFT estimates are better than the AR cepstrum estimates and are comparable with the QT values. The study demonstrates that the SIFT algorithm has the potential to be a reliable and robust method for the estimation of MTBS in the presence of a small signal-to-noise ratio, a large spacing variation between regular scatterers, and a large scattering strength ratio of diffuse scatterers to regular ones.
Keywords :
autoregressive processes; bioacoustics; biomedical measurement; biomedical ultrasonics; bone; cepstral analysis; diseases; filtering theory; medical signal processing; orthopaedics; phantoms; ultrasonic scattering; SIFT algorithm; amplitude information; autocorrelation analysis technique; autoregressive cepstrum methods; backscatter echoes; bone tissue characterization; cepstral analysis technique; diffuse scatterers; frequency-based methods; mean trabecular bone spacing estimation; osteoporosis; phantoms; phase information; quadratic transformation; quasiperiodic tissues; simplified inverse filter tracking algorithm; trabecular bone microstructures; ultrasonic backscatter signals; Autocorrelation; Backscatter; Bone tissue; Cancellous bone; Cepstral analysis; Cepstrum; Filters; Frequency; Microstructure; Scattering; Bone spacing; Ultrasonic backscatter; Algorithms; Animals; Bone and Bones; Cattle; Elastic Modulus; Elasticity Imaging Techniques; Image Interpretation, Computer-Assisted; Stress, Mechanical;
fLanguage :
English
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-3010
Type :
jour
DOI :
10.1109/TUFFC.2008.820
Filename :
4559642
Link To Document :
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