PERFUSION QUANTIFICATION OF CONTRAST-ENHANCED ULTRASOUND IMAGES BASED ON COHERENCE ENHANCING DIFFUSION AND COMPETITIVE CLUSTERING

被引：0
|
作者：
Albouy-Kissi, A. [1 ]
Cormier, S. [2 ]
Tranquart, F. [3 ]
机构：
[1] Univ Auvergne, Clermont Univ, ISIT, UMR 6284, BP 10448, F-63000 Clermont Ferrand, France
[2] Univ Reims, Dept Math Info, CReSTIC, F-51687 Reims 2, France
[3] Bracco Imaging BV, Bracco Suisse SA, Res Ctr, CH-1228 Plan Les Ouates, Switzerland
来源：
2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年
关键词：
Contrast-Enhanced Ultrasound; Coherence Enhancement; Fuzzy Clustering; Competitive Clustering; Image Statistics; ANISOTROPIC DIFFUSION;
D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
The aim of this paper is to introduce a novel approach to quantify liver arterial perfusion. In this study, the contrast-enhanced ultrasound modality is used to investigate liver diseases. The results show the pertinence of this approach in liver carcinoma. The method is based on perfusion estimation, in a regional basis and characterized by a fully-automated tracking of lesion in images sequences based on image statistics. This approach proceeds in two steps in a new framework, a first PDE algorithm and a second segmentation step by competitive clustering.
引用
收藏
页码：2321 / 2324
页数：4
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