Paper
21 May 2004 Frame interpolation of ultrasound images using optical flow
Author Affiliations +
Proceedings Volume 5299, Computational Imaging II; (2004) https://doi.org/10.1117/12.529204
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
In this paper, we present a frame rate up-conversion method for ultrasound image enhancement. The inherent flexibility of ultrasound imaging and moderate cost without known bio-effects give ultrasound a vital role in the diagnostic process compared with other methods. The conventional mechanical scan method for multi-planar images has a slow frame rate. In the proposed frame rate-up conversion method, new interpolated frames are inserted between two input frames, giving smooth renditions to human eyes. Existing methods employing blockwise motion estimation show block artifacts, in which motion vectors are estimated using a block-matching algorithm (BMA). We propose an optical flow based method to find pixelwise intensity changes that yields more accurate motion estimates for frame interpolation. Consequently, the proposed method can provide detailed and improved images without block artifacts. Interpolated frames may contain hole or overlapped regions due to covered or uncovered areas in motion compensation. Those regions can be easily eliminated by a post processing, in which the similarity of pixel intensity is employed with a ray casting based method. Experimental results with several sets of ultrasound image sequences show the effectiveness of the proposed method.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tae-Jin Nam and Rae-Hong Park "Frame interpolation of ultrasound images using optical flow", Proc. SPIE 5299, Computational Imaging II, (21 May 2004); https://doi.org/10.1117/12.529204
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CITATIONS
Cited by 3 scholarly publications and 2 patents.
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KEYWORDS
Ultrasonography

Optical flow

Motion estimation

Digital filtering

Nonlinear filtering

Diagnostics

Motion detection

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