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相关概念视频

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Ultrasound II: Endoscopic Ultrasound and FibroScan

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Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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Imaging Studies II: Ultrasonography01:24

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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
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准静态弹性学驱动的自动化机器人超声波选和定位.

Hanying Liang, Shipeng Zhang, Guochen Ning

    IEEE transactions on bio-medical engineering
    |December 8, 2025
    PubMed
    概括

    这项研究介绍了一种机器人超声波系统,用于使用准静态弹性学 (QE) 进行自动查和异常局部化. 该新系统通过分析组织菌株来提高诊断效率和准确性,以精确检测病变.

    科学领域:

    • 医疗机器人 医疗机器人
    • 生物医学成像技术 生物医学成像技术
    • 超声波技术 超声波技术 超声波技术

    背景情况:

    • 目前的机器人超声波系统主要是自动化灰度图像采集,忽视了关键的功能信息.
    • 这种限制限制了它们在诊断异常方面的临床有效性和效率.

    研究的目的:

    • 开发一种新的机器人超声波系统,用于使用准静态弹性学 (QE) 进行自动查和异常局部化.
    • 通过结合功能弹性信息来提高机器人超声波的临床实用性.

    主要方法:

    • 实施了一种符合规范的力控制策略,用于连续采集QE数据,整合了自适应的飞机外姿势和飞机内触摸控制.
    • 开发了一种无监督组织位移估计方法和一个多融合菌株估计器,用于强大的分析.
    • 重建了3D菌株图,以实现闭环控制,用于自动化机器人异常定位.

    主要成果:

    • 该系统证明了基于QE的机器人查在各种条件和损伤深度中具有高效和适应性.
    • 在基于菌株的异常局部化中取得了高精度,在腹部幻影上检测率为0.77和1.01±0.47毫米的误差.
    • 在甲状腺幻体 (0.73检测率,3.44±0.84毫米误差) 上展示了有希望的结果,表明在具有挑战性的场景中具有稳定性.

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    结论:

    • 拟议的机器人超声波系统有效地使用QE进行自动查和异常局部化.
    • 与现有系统相比,它提供了更高的效率,适应性和准确性,为增强的初步诊断铺平了道路.