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首页> 外文会议>Prostate cancer imaging : Computer-aided diagnosis, prognosis, and intervention >An Efficient Inverse-Consistent Diffeomorphic Image Registration Method for Prostate Adaptive Radiotherapy
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An Efficient Inverse-Consistent Diffeomorphic Image Registration Method for Prostate Adaptive Radiotherapy

机译：前列腺自适应放疗的高效逆一致二形图像配准方法

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摘要

Deformable image registration is a key enabling technology for adaptive radiation therapy (ART) as it can facilitate structure segmentation as well as dose tracking and accumulation. In this work, we develop an efficient inverse-consistent diffeomorphic registration method applying the log-Euclidean formulation of diffeomorphisms. Unlike existing log-Euclidean deformable registration approaches, the proposed method deforms two images towards each other in a completely symmetric fashion during the registration optimization, which leads to higher efficiency and better accuracy in recovering large deformations. The method is applied for the automatic segmentation of daily CT images in prostate ART. To address difficulties caused by large bladder and rectum content change, we propose further improvements and combine deformable registration with model-based image segmentation. Validation results on real clinical data showed that the proposed method gives highly accurate segmentation of interested structures.
机译：可变形图像配准是自适应放射治疗（ART）的关键技术，因为它可以促进结构分割以及剂量跟踪和累积。在这项工作中，我们开发了一种有效的逆一致微分配准方法，该方法应用了对数-欧几里德微分公式。与现有的对数-欧几里德可变形配准方法不同，该方法在配准优化过程中以完全对称的方式使两个图像彼此相对变形，从而在恢复大变形时具有更高的效率和更好的准确性。该方法适用于前列腺ART中每日CT图像的自动分割。为了解决由大的膀胱和直肠内容物变化引起的困难，我们提出了进一步的改进，并将可变形配准与基于模型的图像分割相结合。对真实临床数据的验证结果表明，该方法可对感兴趣的结构进行高度准确的分割。

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