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Ultrasound Image Dataset for Image Analysis Algorithms Evaluation

机译:用于图像分析算法评估的超声图像数据集

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摘要

The use of ultrasound (US) imaging as an alternative for real-time computer assisted interventions is increasing -- Growing usage of US occurs despite of US lower imaging quality compared to other techniques and its difficulty to be used with image analysis algorithms -- On the other hand, it is still difficult to find sufficient data to develop and assess solutions for navigation, registration and reconstruction at medical research level -- At present, manually acquired available datasets present significant usability obstacles due to their lack of control of acquisition conditions, which hinders the study and correction of algorithm design parameters -- To address these limitations, we present a database of robotically acquired sequences of US images from medical phantoms, ensuring the trajectory, pose and force control of the probe -- The acquired dataset is publicly available, and it is specially useful for designing and testing registration and volume reconstruction algorithms
机译:超声(US)成像作为实时计算机辅助干预的替代方法的使用正在增加-尽管US的成像质量比其他技术低,并且难以与图像分析算法配合使用,但US的使用却在不断增长-On另一方面,仍然很难找到足够的数据来开发和评估医学研究级别的导航,配准和重建解决方案。目前,由于缺乏对采集条件的控制,手动获取的可用数据集存在严重的可用性障碍,这阻碍了算法设计参数的研究和校正-为了解决这些限制,我们提供了一个数据库,该数据库自动获取了来自医学体模的US图像序列,以确保探针的轨迹,姿势和力控制-所获取的数据集是公开的可用,对于设计和测试配准和体积重建算法特别有用

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