Texture-Based Filtering and Front-Propagation Techniques for the Segmentation of Ultrasound Images

机译：基于纹理的滤波和前向传播技术在超声图像分割中的应用

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Ultrasound imaging segmentation is a common method used to help in the diagnosis in multiple medical disciplines. This medical image modality is particularly difficult to segment and analyze since the quality of the images is relatively low, because of the presence of speckle noise. In this paper we present a set of techniques, based on texture findings, to increase the quality of the images. We characterize the ultrasound image texture by a vector of responses to a set of Gabor fiters. Also, we combine front-propagation and active contours segmentation methods to achieve a fast accurate segmentation with the minimal expert intervention.

机译：超声成像分割是用于帮助多个医学学科进行诊断的常用方法。由于斑点噪声的存在，由于图像质量相对较低，因此这种医学图像模态特别难以分割和分析。在本文中，我们基于纹理发现提出了一套技术，可以提高图像质量。我们通过对一组Gabor拟合器的响应矢量来表征超声图像纹理。此外，我们结合了前向传播和主动轮廓分割方法，以最少的专家干预即可实现快速准确的分割。

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《International Conference on Computer Aided Systems Theory(EUROCAST 2007); 20070212-16; Las Palmas de Gran Canaria(ES)》|2007年|P.960-967|共8页
会议地点 Las Palmas de Gran Canaria(ES)
作者
Miguel Aleman-Flores; Patricia Aleman-Flores; Luis Alvarez-Leon; M. Belen Esteban-Sanchez; Rafael Fuentes-Pavon; Jose M. Santana-Montesdeoca;
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Departamento de Informatica y Sistemas Universidad de Las Palmas de Gran Canaria, 35017, Las Palmas, Spain;

Seccion de Ecograffa, Servicio de Radiodiagnostico Hospital Universitario Insular de Gran Canaria, 35016, Las Palmas, Spain;

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正文语种 eng
中图分类机器辅助技术;
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专利

1. Segmentation of kidney from ultrasound B-mode images with texture-based classification. [J] . Wu CH, Sun YN Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2006,第2a3期

机译：使用基于纹理的分类从超声B型图像中分割肾脏。
2. Significant Enhancement of Segmentation Efficiency of Retinal Images Using Texture-Based Gabor Filter Approach Followed by Optimization Algorithm [J] . Upendra Kumar International journal of computer vision and iImage processing . 2017,第1期

机译：使用基于纹理的Gabor滤波方法和优化算法可以显着提高视网膜图像的分割效率
3. Unsupervised Texture-Based SAR Image Segmentation Using Spectral Regression and Gabor Filter Bank [J] . Tirandaz Zeinab, Akbarizadeh Gholamreza Journal of the Indian Society of Remote Sensing . 2016,第2期

机译：基于谱回归和Gabor滤波器组的无监督基于纹理的SAR图像分割
4. Texture-Based Filtering and Front-Propagation Techniques for the Segmentation of Ultrasound Images [C] . Miguel Aleman-Flores, Patricia Aleman-Flores, Luis Alvarez-Leon, International Conference on Computer Aided Systems Theory . 2007

机译：基于纹理的过滤和前传播技术，用于超声图像分割
5. Multiresolution image processing techniques with applications in texture segmentation and nonlinear filtering. [D] . Comer, Mary L. 1995

机译：多分辨率图像处理技术及其在纹理分割和非线性滤波中的应用。
6. Delineation of Atherosclerotic Plaque Using Subharmonic Imaging Filtering Techniques and a Commercial Intravascular Ultrasound System [O] . Anush Sridharan, John R. Eisenbrey, Priscilla Machado, -1

机译：使用次谐像过滤技术和商业血管内超声系统描绘动脉粥样硬化斑块
7. Segmentation and Texture-based Hierarchical Rendering Techniques for Large-scale Real-color Biomedical Image Data [O] . Joerg Meyer, Ragnar Borg, Ikuko Takanashi, 2003

机译：大规模实色生物医学图像数据的分割和基于纹理的分层渲染技术
8. Optical Image Segmentation Using Wavelet Filtering Techniques. [R] . Veronin, C. P. 1990

机译：基于小波滤波技术的光学图像分割。

Texture-Based Filtering and Front-Propagation Techniques for the Segmentation of Ultrasound Images

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