一种半自动颈内静脉分割技术 利用主动轮廓线的超声图像

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摘要翻译：
血容量的评估对于许多急慢性疾病的治疗至关重要。最近的研究表明，循环血容量与超声图像估计的颈内静脉(IJV)横截面积(CSA)相关。本文提出了一种结合区域生长和活动轮廓技术的半自动分割算法，以提供快速准确的IJV超声视频分割。该算法用于在图像质量、形状和时间变化范围内跟踪和分割IJV。实验结果表明，与专家手工分割相比，该算法具有较好的分割效果，并优于已有的几种结合斑点跟踪的算法。
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英文标题：
《A Semi-Automated Technique for Internal Jugular Vein Segmentation in
  Ultrasound Images Using Active Contours》
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作者：
Ebrahim Karami, Mohamed Shehata, Peter McGuire, and Andrew Smith
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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英文摘要：
  The assessment of the blood volume is crucial for the management of many acute and chronic diseases. Recent studies have shown that circulating blood volume correlates with the cross-sectional area (CSA) of the internal jugular vein (IJV) estimated from ultrasound imagery. In this paper, a semi-automatic segmentation algorithm is proposed using a combination of region growing and active contour techniques to provide a fast and accurate segmentation of IJV ultrasound videos. The algorithm is applied to track and segment the IJV across a range of image qualities, shapes, and temporal variation. The experimental results show that the algorithm performs well compared to expert manual segmentation and outperforms several published algorithms incorporating speckle tracking.
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PDF链接：
https://arxiv.org/pdf/1710.02732

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关键词：半自动 Segmentation Experimental Mathematical Construction ultrasound 生长 范围 blood algorithm