Inter-scale wavelet analysis for speckle reduction in thyroid ultrasound images

被引：13
|
作者：
Tsantis, S.
Dimitropoulos, N.
Ioannidou, M.
Cavouras, D.
Nikiforidis, G.
机构：
[1] Univ Patras, Sch Med, Dept Med Phys, Rion 26500, Greece
[2] EUROMEDICA Med Ctr, Dept Med Imaging, Athens, Greece
[3] Inst Educ Technol Athens, Dept Med Instrumentat Technol, GR-12210 Athens, Greece
来源：
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2007年 / 31卷 / 03期
关键词：
thyroid nodules; ultrasound images; speckle reduction; local maxima; coarse to fine; singularity detection;
D O I：
10.1016/j.compmedimag.2006.11.006
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A wavelet-based method for speckle suppression in ultrasound images of the thyroid gland is introduced. The classification of image pixels as speckle or part of important image structures is accomplished within the framework of back-propagation tracking and singularity detection of wavelet transform modulus maxima, derived from inter-scale analysis. A comparative study with other de-speckling techniques, employing quantitative indices, demonstrated that our method achieved superior speckle reduction performance and edge preservation properties. Moreover, a questionnaire regarding qualitative imaging parameters, emanating from various visual observations, was employed by two experienced physicians in order to evaluate the algorithm's speckle suppression efficiency. (C) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码：117 / 127
页数：11
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