A Motion Compounding Technique for Speckle Reduction in Ultrasound Images

The quality of ultrasound images is usually influenced by speckle noise and the temporal decorrelation of the speckle patterns. To reduce the speckle noise, compounding techniques have been widely applied. Partially correlated images scanned on the same subject cross-section are combined to generate a compound image with improved image quality. However, the compounding technique might introduce image blurring if the transducer or the target moves too fast. This blurring effect becomes especially critical when assessing tissue deformation in clinical motion examinations. In this paper, an ultrasound motion compounding system is proposed to improve the quality of ultrasound motion sequences. The proposed motion compounding technique uses a hierarchical adaptive feature weighted motion estimation method to realign the frames before compounding. Each frame is first registered and warped to the reference frame before being compounded to reduce the speckle noise. Experimental results showed that the motion could be assessed accurately and better visualization could be achieved for the compound images, with improved signal-to-noise and contrast-to-noise ratios.

[1]  S. Huber,et al.  Real-time spatial compound imaging in breast ultrasound. , 2002, Ultrasound in medicine & biology.

[2]  M. Strintzis,et al.  Maximum likelihood motion estimation in ultrasound image sequences , 1997, IEEE Signal Processing Letters.

[3]  Robert Rohling,et al.  Three-dimensional spatial compounding of ultrasound images , 1997, Medical Image Anal..

[4]  Eric Dubois,et al.  Gradient-based algorithms for block-oriented MAP estimation of motion and application to motion-compensated temporal interpolation , 1991, IEEE Trans. Circuits Syst. Video Technol..

[5]  Frédérique Frouin,et al.  Ultrasound elastography based on multiscale estimations of regularized displacement fields , 2004, IEEE Transactions on Medical Imaging.

[6]  Ezzatollah Salari,et al.  Successive elimination algorithm for motion estimation , 1995, IEEE Trans. Image Process..

[7]  Junaed Sattar Snakes , Shapes and Gradient Vector Flow , 2022 .

[8]  Yung-Nien Sun,et al.  Ultrasound motion estimation using a hierarchical feature weighting algorithm , 2007, Comput. Medical Imaging Graph..

[9]  P C Li,et al.  Strain compounding: spatial resolution and performance on human images. , 2001, Ultrasound in medicine & biology.

[10]  R. F. Wagner,et al.  Statistics of Speckle in Ultrasound B-Scans , 1983, IEEE Transactions on Sonics and Ultrasonics.

[11]  Gozde Bozdagi Akar,et al.  An adaptive speckle suppression filter for medical ultrasonic imaging , 1995, IEEE Trans. Medical Imaging.

[12]  J. Wilhjelm,et al.  Real-time spatial compound imaging improves reproducibility in the evaluation of atherosclerotic carotid plaques. , 2001, Ultrasound in medicine & biology.

[13]  K J Parker,et al.  Multilevel and motion model-based ultrasonic speckle tracking algorithms. , 1998, Ultrasound in medicine & biology.

[14]  B. Friemel,et al.  Relative performance of two-dimensional speckle-tracking techniques: normalized correlation, non-normalized correlation and sum-absolute-difference , 1995, 1995 IEEE Ultrasonics Symposium. Proceedings. An International Symposium.

[15]  S. K. Jespersen,et al.  In vitro spatial compound scanning for improved visualization of atherosclerosis. , 2000, Ultrasound in medicine & biology.

[16]  B A Porter,et al.  Real-time spatial compound imaging: application to breast, vascular, and musculoskeletal ultrasound. , 2001, Seminars in ultrasound, CT, and MR.

[17]  Robert N Rohling,et al.  Two-dimensional spatial compounding with warping. , 2004, Ultrasound in medicine & biology.

[18]  Gabriella Cincotti,et al.  Frequency decomposition and compounding of ultrasound medical images with wavelet packets , 2001, IEEE Transactions on Medical Imaging.

[19]  V. Lukin,et al.  Post-processing of multi-look and sequentially formed images in radar and ultrasonic coherent systems , 2003, 2003 46th Midwest Symposium on Circuits and Systems.

[20]  Kefu Xue,et al.  A motion compensated ultrasound spatial compounding algorithm , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

[21]  Mohammad Hassan Moradi,et al.  Novel Genetic-Neuro-Fuzzy Filter for Speckle Reduction from Sonography Images , 2004, Journal of Digital Imaging.

[22]  T. Loupas,et al.  An adaptive weighted median filter for speckle suppression in medical ultrasonic images , 1989 .

[23]  Yi-Ping Hung,et al.  Fast block matching algorithm based on the winner-update strategy , 2001, IEEE Trans. Image Process..

[24]  Michael G. Strintzis,et al.  Nonlinear ultrasonic image processing based on signal-adaptive filters and self-organizing neural networks , 1994, IEEE Trans. Image Process..

[25]  J F Krücker,et al.  3D spatial compounding of ultrasound images using image-based nonrigid registration. , 2000, Ultrasound in medicine & biology.

[26]  T. Varghese,et al.  Noise reduction using spatial-angular compounding for elastography , 2004, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[27]  S. Leeman,et al.  Speckle reduction methods in ultrasound pulse-echo imaging , 1993 .

[28]  Mark S. Nixon,et al.  Mode filtering to reduce ultrasound speckle for feature extraction , 1995 .

[29]  Jens E. Wilhjelm,et al.  Some imaging strategies in multi-angle spatial compounding , 2000, 2000 IEEE Ultrasonics Symposium. Proceedings. An International Symposium (Cat. No.00CH37121).

[30]  Ja-Chen Lin,et al.  Fast full search in motion estimation by hierarchical use of Minkowski's inequality (HUMI) , 1998, Pattern Recognit..

[31]  Jacques Souquet State of the art in digital broadband medical ultrasound imaging , 2001 .

[32]  Thomas Sikora,et al.  Trends and Perspectives in Image and Video Coding , 2005, Proceedings of the IEEE.

[33]  R. Entrekin,et al.  Real Time Spatial Compound Imaging in breast ultrasound: Technology and early clinical experience , 2000 .