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Segmentation par contours actifs en imagerie médicale dynamique : application en cardiologie nucléaire

机译：动态医学影像中的主动轮廓分割：在核心脏病学中的应用

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摘要

In emission imaging, nuclear medicine provides functional information about the organ of interest. In transmission imaging, it provides anatomical information whose goal may be the correction of physical phenomena that corrupt emission images. With both emission and transmission images, it is useful to know how to extract, either automatically or semiautomatically, the organs of interest and the body outline in the case of a large field of view. This is the aim of segmentation. We developed two active contour segmentation methods. They were implemented using level sets. The key point is the evolution velocity definition. First, we were interested in static transmission imaging of the thorax. The evolution velocity was heuristically defined and depended only on the acquired projections. The segmented transmission map was computed w/o reconstruction and could be advantageously used for attenuation correction. Then, we studied the segmentation of cardiac gated sequences. The developed space-time segmentation method results from the minimization of a variational criterion which takes into account the whole sequence. The computed segmentation could be used for calculating physiological parameters. As an illustration, we computed the ejection fraction. Finally, we exploited some level set properties to develop a non-rigid, non-parametric, and geometric registration method. We applied it for kinetic compensation of cardiac gated sequences. The registered images were then added together providing an image with noise characteristics similar to a cardiac static image but w/o motion-induced blurring.
机译：在放射成像中，核医学提供有关目标器官的功能信息。在透射成像中，它提供解剖学信息，其目的可能是纠正破坏发射图像的物理现象。对于发射和透射图像，了解大视野情况下如何自动或半自动提取目标器官和身体轮廓很有用。这是分割的目的。我们开发了两种主动轮廓分割方法。它们是使用级别集实现的。关键是进化速度的定义。首先，我们对胸部的静态透射成像感兴趣。启发式地定义了演化速度，并且仅取决于所获得的预测。分割后的传输图是无重构计算的，可以有利地用于衰减校正。然后，我们研究了心脏门控序列的分割。改进的时空分割方法是从最小化考虑整个序列的变异标准得出的。计算的分割可以用于计算生理参数。作为说明，我们计算了射血分数。最后，我们利用一些级别集属性来开发非刚性，非参数和几何配准方法。我们将其用于心脏门控序列的动力学补偿。然后将注册的图像相加在一起，从而提供具有类似于心脏静态图像的噪声特征但没有运动引起的模糊的图像。

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    Debreuve Eric;

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  • 年度 2000
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  • 原文格式 PDF
  • 正文语种 fr
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