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Cardiac CT image enhancement for 3D heart registration and visualization

机译:心脏CT图像增强功能可实现3D心脏定位和可视化

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Cardiac CT imaging has been established as one of the most valuable tools in diagnosis and treatment of cardio vascular diseases. Modern CT imaging devices provide a significant amount of data with high precision. However, resulting CT images can often suffer from significant quality degradations, especially in the preferable case of low level of radiation. Such degradations can complicate the registration and visualization processes, thus making it harder for medical doctors to analyze the acquired data. The goal of this paper is to propose a method for the enhancement of input CT data based on Multiscale Wavelet Decomposition and Spatial Pixel Profiling in 2D slices. Proposed methods are used as preprocessing steps on input CT data, preparing the data for segmentation and registration using Active Contour Models segmentation method. This paper displays the benefits of such approach for the purpose of 3D reconstruction.
机译:心脏CT成像已被确立为诊断和治疗心血管疾病的最有价值的工具之一。现代CT成像设备可提供大量的高精度数据。但是,所得的CT图像通常会遭受明显的质量下降,尤其是在辐射水平较低的优选情况下。这样的降级会使注册和可视化过程复杂化,从而使医生更难分析采集的数据。本文的目的是提出一种基于多尺度小波分解和2D切片空间像素轮廓分析的输入CT数据增强方法。提议的方法用作对输入CT数据的预处理步骤,使用Active Contour Models分割方法准备用于分割和配准的数据。本文展示了这种方法用于3D重建的好处。

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