Motion Visualization of Ultrasound Imaging

• Published in: Advances in Visual Computing pp. 653 - 658
• Main Authors: Liu, Dong C., Hou, Longlong, Liu, Paul S.
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Acoustic signal processing; Acoustics; Applied sciences; Artificial intelligence; Block Match Algorithm; Color Transparency; Computer science; control theory; systems; Exact sciences and technology; Fundamental areas of phenomenology (including applications); Motion Vector; Pattern recognition. Digital image processing. Computational geometry; Physics; Tangential Velocity Component; Velocity Lattice; In vivo; Computer vision; Visualization; Ultrasonic imaging; Convolution; Grey level image; Image processing; Filter; Ultrasound imaging; Medical imagery; Acoustic image; Block matching
• ISBN: 9783540307501; 3540307508
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/11595755_81

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.