Evaluation of the Local Speed-of-Sound Estimation for the Correction of Ultrasound Compound Imaging by Speckle Analysis

In several applications like ultrasound based registration in navigated surgery, geometrically correct reconstructed ultrasound images are crucial for diagnostic and therapeutic success. The spatial information in ultrasound images is derived from the round trip propagation delay and an assumed speed-of-sound, which is 1540m/s for most ultrasound systems. Since different tissue types have different speeds-of-sound, geometrical information can be incorrect and spatial deformation in the resulting B-mode image might account for up to 5 mm.

[1]  M. Fink,et al.  Temperature estimation using ultrasonic spatial compound imaging , 2004, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[2]  Kirsten Schmieder,et al.  Registration of CT and Intraoperative 3-D Ultrasound Images of the Spine Using Evolutionary and Gradient-Based Methods , 2008, IEEE Transactions on Evolutionary Computation.

[3]  Georg Schmitz,et al.  Improvement of Ultrasound Compound Imaging by Speed-Of-Sound Estimation , 2002, Biomedizinische Technik. Biomedical engineering.

[4]  Graham M. Treece,et al.  Ultrasound compounding with automatic attenuation compensation using paired angle scans. , 2007, Ultrasound in medicine & biology.

[5]  S.W. Smith,et al.  Speckle Pattern Correlation with Lateral Aperture Translation: Experimental Results and Implications for Spatial Compounding , 1986, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[6]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[7]  F. Duck Physical properties of tissue , 1990 .

[8]  Stuart K Williams,et al.  Texture analysis of speckle in optical coherence tomography images of tissue phantoms. , 2006, Physics in medicine and biology.

[9]  Andrew H. Gee,et al.  Decompression and speckle detection for ultrasound images using the homodyned k-distribution , 2003, Pattern Recognit. Lett..

[10]  P. Carson,et al.  Ultrasonic estimation of tissue perfusion: a stochastic approach. , 1995, Ultrasound in medicine & biology.