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首页> 外文会议>2010 3rd International Conference on Biomedical Engineering and Informatics >Region of interest three-dimensional visualization in clinical human CT images sequence
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Region of interest three-dimensional visualization in clinical human CT images sequence

机译：临床人CT图像序列中的感兴趣区域三维可视化

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摘要

Medical image analysis is more than just algorithms. Visualization of the original image data and processed results, interaction with the data, as well as the data themselves are also important. It has been widely used for demonstrating lesions or their localization in the musculoskeletal system, vascular system, respiratory and alimentary systems. Region of interest (ROI) imaging visualization techniques in computed tomography (CT), which can visualize an ROI image from the CT sequence data set of the ROI, can be used not only for reducing imaging-time but also for potentially increasing clinical analysis accuracy of the particular area images. VC++6.0 with visualization toolkit (VTK) are adopted to reconstruct the 3D images using the 2D CT image sequence in DICOM format. The ROI images visualization by use of the marching cubes (MC) algorithm from the clinical human CT data. The experimental results show that this method is robust, easy to implement and excellent image quality evaluation. Because the proposed method requires minimum visualization data for clinical analysis, it can reduce imaging-time, and has excellent image quality evaluation. These methods can assist doctors to make better and more accurate diagnosis.
机译：医学图像分析不只是算法。原始图像数据和处理结果的可视化，与数据的交互以及数据本身也很重要。它已被广泛用于显示病变或它们在肌肉骨骼系统，血管系统，呼吸系统和消化系统中的定位。可以从ROI的CT序列数据集中显示ROI图像的计算机断层扫描（CT）中的感兴趣区域（ROI）成像可视化技术，不仅可以用于减少成像时间，而且可以潜在地提高临床分析的准确性特定区域图像。采用带有可视化工具包（VTK）的VC ++ 6.0，以DICOM格式使用2D CT图像序列重建3D图像。通过使用行进立方体（MC）算法从临床人体CT数据中可视化ROI图像。实验结果表明，该方法鲁棒，易于实现，并且具有良好的图像质量评价。由于所提出的方法需要最少的可视化数据进行临床分析，因此可以减少成像时间，并具有出色的图像质量评估。这些方法可以帮助医生做出更好，更准确的诊断。

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