通过通用顺序统计滤波器的交互式进化实现临床超声成像中的斑点减少。

Speckle reduction through interactive evolution of a general order statistics filter for clinical ultrasound imaging.

作者信息

Munteanu Cristian, Morales Francisco Cabrera, Ruiz-Alzola Juan

机构信息

Centre for Technology in Medicine, University of Las Palmas de Gran Canaria, Centro de Tecnologia Medica, Tafira Las Palmas 35017, Spain.

出版信息

IEEE Trans Biomed Eng. 2008 Jan;55(1):365-9. doi: 10.1109/TBME.2007.897833.

DOI:10.1109/TBME.2007.897833

PMID:18232385

Abstract

This communication presents an interactive tool performing adaptive speckle filtering so that the medical expert who runs the algorithm has permanent control over the output and guides the process towards obtaining enhanced images that agree to his/her subjective quality criteria. The core of the filtering tool is an Interactive Genetic Algorithm that adapts online the coefficients of a general order statistics filter. Preliminary results show the potential of the method in comparison to other powerful speckle reduction filters on a test bed comprising obstetrics and gynecology ultrasound images.

摘要

本通信展示了一种执行自适应散斑滤波的交互式工具，以便运行该算法的医学专家能够对输出进行持续控制，并引导该过程朝着获得符合其主观质量标准的增强图像的方向发展。滤波工具的核心是一种交互式遗传算法，它可以在线调整通用顺序统计滤波器的系数。初步结果表明，在包含妇产科超声图像的测试平台上，与其他强大的散斑减少滤波器相比，该方法具有潜力。