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Application of scale-space descriptors for the reliable detection of keypoints for image registration in optical mapping studies in whole heart preparations

机译:规模空间描述符在全心脏准备中可靠地检测键盘图像登记的关键点

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摘要

Data acquired using Optical Mapping (OM) studies are affected by motion artifacts due to the inherent contraction of the heart. Those artifacts can be reduced by registering the images obtained by the OM system or by the combination of approaches like physical restraint of the heart or ratiometry with image registration. Due to the lack of high contrast features most registration methods are not suitable for this application. This paper is focused on the utilization of scale space theory and local descriptors to enhance the detection of local features in OM images and to describe the movement of keypoints. This information can be used to determine a suitable set of transformations to perform the registration process.
机译:使用光学映射(OM)研究获得的数据受到由于心脏固有的收缩而受到运动伪影的影响。可以通过注册由OM系统获得的图像或通过具有图像配准的心脏或比率等的方法的方法的组合来减少那些伪影。由于缺乏高对比度,大多数注册方法都不适用于此应用。本文专注于利用规模空间理论和本地描述符,以增强OM图像中的局部特征的检测,并描述关键点的移动。该信息可用于确定合适的转换集以执行注册过程。

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