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首页> 外文会议>Image Processing pt.3; Progress in Biomedical Optics and Imaging; vol.8,no.31; Proceedings of SPIE-The International Society for Optical Engineering; vol.6512 pt.3 >An interactive toolbox for atlas-based segmentation and coding of volumetric images
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An interactive toolbox for atlas-based segmentation and coding of volumetric images

机译：交互式工具箱，用于基于图集的体积图像分割和编码

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摘要

Medical imaging poses the great challenge of having compression algorithms that are lossless for diagnostic and legal reasons and yet provide high compression rates for reduced storage and transmission time. The images usually consist of a region of interest representing the part of the body under investigation surrounded by a "background", which is often noisy and not of diagnostic interest. In this paper, we propose a ROI-based 3D coding system integrating both the segmentation and the compression tools. The ROI is extracted by an atlas based 3D segmentation method combining active contours with information theoretic principles, and the resulting segmentation map is exploited for ROI based coding. The system is equipped with a GUI allowing the medical doctors to supervise the segmentation process and eventually reshape the detected contours at any point. The process is initiated by the user through the selection of either one pre-defined reference image or one image of the volume to be used as the 2D " atlas". The object contour is successively propagated from one frame to the next where it is used as the initial border estimation. In this way, the entire volume is segmented based on a unique 2D atlas. The resulting 3D segmentation map is exploited for adaptive coding of the different image regions. Two coding systems were considered: the JPEG3D standard and the 3D-SPITH. The evaluation of the performance with respect to both segmentation and coding proved the high potential of the proposed system in providing an integrated, low-cost and computationally effective solution for CAD and PAC systems.
机译：医学成像带来了巨大的挑战，即由于诊断和法律原因，压缩算法无损，并且提供高压缩率以减少存储和传输时间。图像通常由感兴趣区域组成，该区域代表被调查身体的被“背景”所包围的部分，该背景通常是嘈杂的且没有诊断意义。在本文中，我们提出了一种基于ROI的3D编码系统，该系统集成了分段和压缩工具。通过将活动轮廓与信息理论原理相结合的基于图集的3D分割方法提取ROI，并将所得分割图用于基于ROI的编码。该系统配备了GUI，使医生可以监督分割过程，并最终在任何点重塑检测到的轮廓。用户通过选择一个预定义参考图像或要用作2D“地图集”的体积的一个图像来启动该过程。对象轮廓从一帧连续传播到下一帧，在此将其用作初始边界估计。这样，整个体积将基于唯一的2D地图集进行分割。将所得的3D分割图用于不同图像区域的自适应编码。考虑了两种编码系统：JPEG3D标准和3D-SPITH。对分段和编码性能的评估证明了该系统在为CAD和PAC系统提供集成，低成本和计算有效的解决方案方面的巨大潜力。

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