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Image-based cardiac phase retrieval in intravascular ultrasound sequences

机译:血管内超声序列中基于图像的心脏相位检索

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Longitudinal motion during in vivo pullbacks acquisition of intravascular ultrasound (IVUS) sequences is a major artifact for 3-D exploring of coronary arteries. Most current techniques are based on the electrocardiogram (ECG) signal to obtain a gated pullback without longitudinal motion by using specific hardware or the ECG signal itself. We present an image-based approach for cardiac phase retrieval from coronary IVUS sequences without an ECG signal. A signal reflecting cardiac motion is computed by exploring the image intensity local mean evolution. The signal is filtered by a band-pass filter centered at the main cardiac frequency. Phase is retrieved by computing signal extrema. The average frame processing time using our setup is 36 ms. Comparison to manually sampled sequences encourages a deeper study comparing them to ECG signals.
机译:血管内超声(IVUS)序列在体内回撤采集过程中的纵向运动是3D探索冠状动脉的主要人工产物。当前大多数技术都是基于心电图(ECG)信号,通过使用特定的硬件或ECG信号本身来获得没有纵向运动的门控拉回。我们提出了一种基于图像的方法,可从无ECG信号的冠状IVUS序列中进行心脏相位检索。通过探索图像强度局部均值演变来计算反映心脏运动的信号。该信号由以主心脏频率为中心的带通滤波器进行滤波。通过计算信号极值来恢复相位。使用我们的设置,平均帧处理时间为36 ms。与手动采样序列的比较鼓励进行更深入的研究,将其与ECG信号进行比较。

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