利用基于相位掩码的血流再循环算法提高彩色多普勒对微血管的敏感性

IF 3.3 3区 医学 Q2 ENGINEERING, BIOMEDICAL Physics in medicine and biology Pub Date : 2024-10-02 DOI:10.1088/1361-6560/ad8292
Hao Yu, Jiabin Zhang, Jingyi Yin, Jinyu Yang, Daichao Chen, Yu Xia, Jue Zhang
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引用次数: 0

摘要

目的: 血流灵敏度是评估彩色多普勒血流成像(CDFI)效果的重要指标。基于经典自相关技术的彩色多普勒速度图被广泛应用于临床实践。然而,由于噪声相位固有的随机性,这些技术往往会在噪声区域产生闪烁伪影。为了减少伪影并提高图像质量,功率掩膜(PoM)技术势在必行。然而,PoM 技术会无意中过滤掉与噪声信号具有相似功率和频率特性的小流量信号,从而降低成像系统对流量的灵敏度。主要结果: 多器官成像实验表明,FRA-CDFI 方法能更有效地抑制噪声区域的闪烁伪影,保留错综复杂的小血流信号,明显提高小血流的灵敏度。这种新方法为临床超声成像脑、肾、肝等小血管密集器官提供了充分的技术支持。 意义: 作为一种新颖的后处理方法,FRA-CDFI 在未来临床高帧率超声成像设备中的应用潜力巨大。
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Improving microvascular sensitivity of color doppler using phase mask based flow recycling algorithm.

Objective: Blood flow sensitivity is a crucial metric for appraising the effectiveness of color Doppler flow imaging (CDFI). Color Doppler velocity maps based on classic autocorrelation techniques are widely used in clinical practice. However, these techniques often produce twinkling artifacts in noisy regions due to the inherent randomness of noise phases. To mitigate artifacts and improve image quality, Power Mask (PoM) technology becomes imperative. Nevertheless, PoM technology unintentionally filters out small flow signals that have similar power and frequency characteristics to noise signals, thereby reducing the imaging system's sensitivity to flow. Approach: To address this issue, a novel Flow Recycling Algorithm (FRA) based on phase anomaly is introduced in this study. This algorithm, excavating small flow signals from noise, aims to enhance the small flow signals with low-velocity by the phase characteristics of the color Doppler flow information. Main results: Experiments in multi-organ imaging have shown that the FRA-CDFI approach is more effective in suppressing twinkling artifacts in noisy regions, preserving intricate small flow signals, and markedly improving small blood flow sensitivity. This novel approach provides adequate technical support for clinical ultrasound imaging of organs with dense small blood vessels, such as the brain, kidneys, liver, and more. Significance: As a novel post-processing method, FRA-CDFI holds significant potential for future deployment in clinical high-frame-rate ultrasound imaging devices.

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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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