Abstract
Sector scan medical ultrasound images usually have arc stripes, which do not represent the physical structure and thus are a kind of noise. This paper analyzes the source and characteristics of the arc stripes, and then proposes an adaptive filter based on the geometrical properties of these arc stripes. The proposed filter is the weighted summation of radially adaptive filter and common Gaussian filter. The radially adaptive filter aims to reduce the arc stripe noise. The common Gaussian filter is used to counteract the radial stripe artifact produced by the radial filter and suppress the randomly directional noise as well. The weights of the radially adaptive filter and common Gaussian filter are adapted to the proportion between the arc stripe noise and non-directional noise. The results show that the combined filter obviously enhances the image quality and is superior to common Gaussian filter.
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References
Webb, A.: Introduction to biomedical imaging. ch. 3, pp. 133–135. Wiley-Interscience, Hoboken (2003)
Burckhardt, C.B.: Speckle in ultrasound B-mode scans. IEEE Trans. Son. Ultrason. SU-25, 1–6 (1978)
Abbott, J.G., Thurstone, F.L.: Acoustic speckle: Theory and experimental analysis. Ultrason. Imag. 1, 303–324 (1979)
Huang, H.C., Chen, J.Y., Wang, S.D., Chen, C.M.: Adaptive ultrasonic speckle reduction based on the slope-facet model. Ultrasound in Med. & Biol. 29, 1161–1175 (2003)
Karaman, M., Alper, K.M., Bozdagi, G.: An adaptive speckle suppression filter for medical ultrasound imaging. IEEE Trans. Med. Imaging 14, 2832–2892 (1995)
Kotropoulos, C.: ‘Nonlinear ultrasonic image processing based on signal-adaptive filters and self-organizing neural networks. IEEE Trans. Image Process 3, 65–77 (1994)
Loupas, T., McDicken, W.N., Allan, P.L.: An adaptive weighted median filter for speckle suppression in medical ultrasonic images. IEEE Trans. Circ. Sys. 36, 129–135 (1989)
Chen, Y., Yin, R., Flynn, B.P.: Aggressive region growing for speckle reduction in ultrasound images. Pattern Recognition Letters 24, 677–691 (2003)
Bushberg, J.T., Seibert, J.A., Leidholdt Jr., E.M., Boone, J.M.: The Essential Physics of Medical Imaging, 2nd edn. ch. 16, pp. 490–500. Williams & Wilkins, Baltimore (2002)
Seul, M., O’Gorman, L., Sammon, M.J.: Practical algorithms for image analysis: description, examples, and code. ch. 3, pp. 68–74. Cambridge University Press, Cambridge (2000)
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© 2004 Springer-Verlag Berlin Heidelberg
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Xu, Q., Kamel, M., Salama, M.M.A. (2004). A Spatially Adaptive Filter Reducing Arc Stripe Noise for Sector Scan Medical Ultrasound Imaging. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30126-4_4
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DOI: https://doi.org/10.1007/978-3-540-30126-4_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23240-7
Online ISBN: 978-3-540-30126-4
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