Optimized Noninvasive Monitoring of Thermal Changes on Digital B-Mode Renal Sonography During Revascularization Therapy
Optimized Noninvasive Monitoring of Thermal Changes on Digital B-Mode Renal Sonography During Revascularization Therapy
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DOI：
10.7863/jum.2009.28.11.1535
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发表时间：
2009-11-01
影响因子：
2.3
通讯作者：
Sahba, Nima
中科院分区：
文献类型：
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作者：
Abolhassani, Mohammad D.;Tavakoli, Vahid;Sahba, Nima
目标。无创的人体内脏热变化实时监测在许多疾病的诊断和治疗中发挥着至关重要的作用，包括抗凝治疗期间肾动脉再灌注。方法。本文重点研究了高质量b型数字超声在不同组织结构中超声速度变化及其相关散斑位移的组织温度检测。我们评估了不同的斑点跟踪技术，并使用合适的运动估计方法对它们进行优化，以确定最佳算法和参数。结果。对模拟幻影的热探测方法表明，散斑位移与地面真温之间具有良好的相关性。对于模拟图像，平均热误差为0.5℃，SD为0.5℃，其中在无噪声（静止）数据中可以获得更低的误差。该技术在手术闭塞和肾节段动脉重开过程中的真实体内病例中进行了评估，并显示了该算法仅使用数字超声系统进行诊断和治疗来观察内脏器官变化的潜力。结论。自适应Rood模式搜索是最佳的块匹配方法，而多分辨率Horn-Schunck方法是最佳的梯度光流方法。在体内血运重建治疗过程中提取的热变化是有前景的。此外，我们还介绍了几种块匹配和光流运动估计技术的评价。
Objective. Noninvasive real-time thermal change monitoring of human internal organs can play a critical role in diagnosis and treatment of many disorders, including reperfusion of renal arteries during anticoagulation therapy. Methods. This article focuses on tissue temperature detection using ultrasound velocity changes in different structures and their related speckle shift from their primary locations on high-quality B-mode digital sonography. We evaluated different speckle-tracking techniques and optimized them using appropriate motion estimation methods to determine the best algorithm and parameters. Results. Performing thermal detection methods on simulated phantoms showed a good correlation between speckle shifts and the ground truth temperature. For the simulated images, average thermal error was 0.5 degrees C with an SD of 0.5 degrees C, where lower errors can be obtained in noiseless (motionless) data. The proposed technique was evaluated on real in vivo cases during surgical occlusion and reopening of the renal segmental artery and showed the potential of the algorithm for observation of internal organ changes using only digital ultrasound systems for diagnosis and therapy. Conclusions. The adaptive Rood pattern search proved to be the best block-matching technique, whereas the multiresolution Horn-Schunck technique was the best gradient optical flow method. The extracted thermal change during in vivo revascularization therapy is promising. In addition, we present an evaluation of several block-matching and optical flow motion estimation techniques.