论文标题
一种用于自动估计脊柱CT数据中患者位置的工具
A Tool for Automatic Estimation of Patient Position in Spinal CT Data
论文作者
论文摘要
最近可用的许多研究和挑战数据都缺乏包含有关患者位置的任何信息的元数据。本文提出了一种将CT数据自动旋转到标准化（HFS）患者位置的工具。所提出的方法基于与CNN旋转角度的预测，其精度为99.55％，它几乎达到了完美的结果。我们为MATLAB和PYTHON（Pytorch）提供易于使用的实现，例如，可以将其用于自动旋转校正Verse2020挑战数据。
Much of the recently available research and challenge data lack the meta-data containing any information about the patient position. This paper presents a tool for automatic rotation of CT data into a standardized (HFS) patient position. The proposed method is based on the prediction of rotation angle with CNN, and it achieved nearly perfect results with an accuracy of 99.55 %. We provide implementations with easy to use an example for both Matlab and Python (PyTorch), which can be used, for example, for automatic rotation correction of VerSe2020 challenge data.
