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REGISTRATION OF MEDICAL ATLAS

机译:医学图册注册

摘要

A system and method are provided for enabling atlas registration in medical imaging, said atlas registration comprising matching a medical atlas 300, 302 to a medical image 320. The system and method may execute a Reinforcement Learning (RL) algorithm to learn a model for matching the medical atlas to the medical image, wherein said learning is on the basis of a reward function quantifying a degree of match between the medical atlas and the medical image. The state space of the RL algorithm may be determined on the basis of a set of features extracted from i) the atlas data and ii) the image data. As such, a model is obtained for medical atlas registration without the use, or with a reduced use, of heuristics. By using a machine learning based approach, the solution can easily be applied to different atlas matching problems, e.g., to different types of medical atlases and/or medical images.
机译:提供一种用于在医学成像中实现图谱配准的系统和方法,所述图谱配准包括将医学图谱300、302与医学图像320相匹配。该系统和方法可以执行强化学习(RL)算法以学习用于匹配的模型。所述医学图谱与医学图像之间的关系,其中所述学习是基于奖励函数来量化医学图谱与医学图像之间的匹配程度的。可以基于从i)地图集数据和ii)图像数据中提取的一组特征来确定RL算法的状态空间。这样,无需使用或减少使用启发式就可获得用于医疗图谱注册的模型。通过使用基于机器学习的方法,该解决方案可以轻松地应用于不同的图集匹配问题,例如,应用于不同类型的医学图集和/或医学图像。

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