
Proceedings Paper
An accurate tongue tissue strain synthesis using pseudo-wavelet reconstruction-based tagline detectionFormat | Member Price | Non-Member Price |
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Paper Abstract
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.
Paper Details
Date Published: 5 March 2007
PDF: 9 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651244 (5 March 2007); doi: 10.1117/12.710402
Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)
PDF: 9 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651244 (5 March 2007); doi: 10.1117/12.710402
Show Author Affiliations
Xiaohui Yuan, Univ. of North Texas (United States)
Cengizhan Ozturk, National Institutes of Health (United States)
Cengizhan Ozturk, National Institutes of Health (United States)
Gloria Chi-Fishman, National Institutes of Health (United States)
Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)
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