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首页> 外文会议>SPIE Conference on Ultrasonic Imaging and Tomography >Automated Hierarchical Time Gain Compensation for In Vivo Ultrasound Imaging
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Automated Hierarchical Time Gain Compensation for In Vivo Ultrasound Imaging

机译：体内超声成像的自动分层时间增益补偿

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摘要

Time gain compensation (TGC) is essential to ensure the optimal image quality of the clinical ultrasound scans. When large fluid collections are present within the scan plane, the attenuation distribution is changed drastically and TGC compensation becomes challenging. This paper presents an automated hierarchical TGC (AHTGC) algorithm that accurately adapts to the large attenuation variation between different types of tissues and structures. The algorithm relies on estimates of tissue attenuation, scattering strength, and noise level to gain a more quantitative understanding of the underlying tissue and the ultrasound signal strength. The proposed algorithm was applied to a set of 44 in vivo abdominal movie sequences each containing 15 frames. Matching pairs of in vivo sequences, unprocessed and processed with the proposed AHTGC were visualized side by side and evaluated by two radiologists in terms of image quality. Wilcoxon signed-rank test was used to evaluate whether radiologists preferred the processed sequences or the unprocessed data. The results indicate that the average visual analogue scale (VAS) is positive ( p-value: 2:34 × 10~(-13)) and estimated to be 1.01 (95% CI: 0.85; 1.16) favoring the processed data with the proposed AHTGC algorithm.
机译：时间增益补偿（TGC）对于确保临床超声扫描的最佳图像质量至关重要。当在扫描平面内存在大流体收集时，衰减分布急剧地改变，TGC补偿变得具有挑战性。本文介绍了一种自动分层TGC（AHTGC）算法，可准确地适应不同类型的组织和结构之间的大衰减变化。该算法依赖于组织衰减，散射强度和噪声水平的估计，以获得对底层组织和超声信号强度的更定量了解。将所提出的算法应用于含有15帧的体内腹部电影序列中的一组44。在体内序列中匹配对，未加工和加工，用所提出的AHTGC并排可视化，并在图像质量方面由两个放射科医师进行评估。 Wilcoxon签名 - 等级测试用于评估放射科医生是否优选处理过的序列或未加工的数据。结果表明，平均视觉模拟量表（VAS）是阳性的（p值：2:34×10〜（-13）），估计为1.01（95％CI：0.85; 1.16），有利于加工数据提出了AHTGC算法。

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