Abstract
This paper presents a method for motion visualization of medical ultrasound imaging based on line integral convolution (LIC) algorithms. The motion vector is derived by a hierarchical-type of block matching algorithm with sub-pixel accuracy. Then, the original pixel-based LIC algorithm has been extended to block-based processing and the proposed method can handle both the steady and unsteady motion where the size of the convolution filter is a function of the motion strength. Test results are reported to verify the effectiveness of the proposed approach both in synthetic and in-vivo ultrasound images. We also present a display technique to show the grey-scale LIC image for the motion direction and color coded motion amplitude to enhance the motion strength.
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© 2005 Springer-Verlag Berlin Heidelberg
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Liu, D.C., Hou, L., Liu, P.S. (2005). Motion Visualization of Ultrasound Imaging. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds) Advances in Visual Computing. ISVC 2005. Lecture Notes in Computer Science, vol 3804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595755_81
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DOI: https://doi.org/10.1007/11595755_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30750-1
Online ISBN: 978-3-540-32284-9
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