5 March 2007 An accurate tongue tissue strain synthesis using pseudo-wavelet reconstruction-based tagline detection
Author Affiliations +
Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 651244 (2007); doi: 10.1117/12.710402
Event: Medical Imaging, 2007, San Diego, CA, United States
This paper describe our work on tagline detection and tissue strain synthesis. The tagline detection method extends our previous work16 using pseudo-wavelet reconstruction. The novelty in tagline detection is that we integrated an active contour model and successfully improved the detection and indexing performance. Using pseudo-wavelet reconstruction-based method, prominent wavelet coefficients were retained while others were eliminated. Taglines were then extracted from the reconstructed images using thresholding. Due to noise and artifacts, a tagline can be broken into segments. We employed an active contour model that tracks the most likely segments and bridges them. Experiments demonstrated that our method extracts taglines automatically with greater robustness. Tissue strain was also reconstructed using extracted taglines.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaohui Yuan, Cengizhan Ozturk, Gloria Chi-Fishman, "An accurate tongue tissue strain synthesis using pseudo-wavelet reconstruction-based tagline detection", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651244 (5 March 2007); doi: 10.1117/12.710402; https://doi.org/10.1117/12.710402




Image segmentation

Magnetic resonance imaging

Image filtering


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