• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Efficient 3-D Reconstruction in Ultrasound Elastography via a Sparse Iteration Based on Markov Random Fields
【24h】

Efficient 3-D Reconstruction in Ultrasound Elastography via a Sparse Iteration Based on Markov Random Fields

机译：基于马尔可夫随机场的稀疏迭代在超声弹性成像中有效的3-D重建

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Percutaneous needle-based liver ablation procedures are becoming increasingly common for the treatment of small isolated tumors in hepatocellular carcinoma patients who are not candidates for surgery. Rapid 3-D visualization of liver ablations has potential clinical value, because it can enable interventional radiologists to plan and execute needle-based ablation procedures with real time feedback. Ensuring the right volume of tissue is ablated is desirable to avoid recurrence of tumors from residual untreated cancerous cells. Shear wave velocity (SWV) measurements can be used as a surrogate for tissue stiffness to distinguish stiffer ablated regions from softer untreated tissue. This paper extends the previously reported sheaf reconstruction method to generate complete 3-D visualizations of SWVs without resorting to an approximate intermediate step of reconstructing transverse C planes. The noisy data are modeled using a Markov random field, and a computationally tractable reconstruction algorithm that can handle grids with millions of points is developed. Results from simulated ellipsoidal inclusion data show that this algorithm outperforms standard nearest neighbor interpolation by an order of magnitude in mean squared reconstruction error. Results from the phantom experiments show that it also provides a higher contrast-to-noise ratio by almost 2 dB and better signal-to-noise ratio in the stiff inclusion by over 2 dB compared with nearest neighbor interpolation and has lower computational complexity than linear and spline interpolation.
机译：在不适合手术的肝细胞癌患者中，以针头为基础的肝消融术正越来越普遍地用于治疗孤立的小肿瘤。肝脏消融的快速3-D可视化具有潜在的临床价值，因为它可使介入放射科医生计划并执行带有实时反馈的基于针头的消融手术。确保消融适当的组织体积是避免残留的未治疗癌细胞复发肿瘤的理想方法。剪切波速度（SWV）测量可用作组织刚度的替代指标，以区分较硬的消融区域和较软的未处理组织。本文扩展了先前报道的捆重构方法，以生成SWV的完整3-D可视化效果，而无需诉诸于重构横向C平面的近似中间步骤。使用Markov随机场对嘈杂的数据进行建模，并开发了一种可处理易计算的重建算法，该算法可处理具有数百万个点的网格。模拟椭球包含数据的结果表明，该算法在均方根重构误差方面比标准最近邻插值好一个数量级。幻象实验的结果表明，与最近邻插值法相比，它在刚性夹杂物中还提供了更高的对比度-噪声比近2 dB，以及更好的信噪比2 dB以上，并且计算复杂度低于线性和样条插值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号