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用于自动脑移位估计的术中序列图像非刚性配准

Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation.

作者信息

Duay Valerie, Sinha Tuhin K, D'Haese Pierre-François, Miga Michael I, Dawant Benoit M

出版信息

Biomed Image Registration. 2003;2717:61-70. doi: 10.1007/978-3-540-39701-4_7.

DOI:10.1007/978-3-540-39701-4_7
PMID:26069890
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4460989/
Abstract

Measurement of intra-operative brain motion is important to provide boundary conditions to physics-based deformation models that can be used to register pre- and intra-operative information. In this paper we present and test a technique that can be used to measure brain surface motion automatically. This method relies on a tracked laser range scanner (LRS) that can acquire simultaneously a picture and the 3D physical coordinates of objects within its field of view. This reduces the 3D tracking problem to a 2D non-rigid registration problem which we solve with a Mutual Information-based algorithm. Results obtained on images of a phantom and on images acquired intra-operatively that demonstrate the feasibility of the method are presented.

摘要

术中脑运动的测量对于为基于物理的变形模型提供边界条件很重要，该模型可用于配准术前和术中信息。在本文中，我们提出并测试了一种可用于自动测量脑表面运动的技术。该方法依赖于一个跟踪激光测距扫描仪（LRS），它可以同时获取一幅图像及其视场内物体的三维物理坐标。这将三维跟踪问题简化为二维非刚性配准问题，我们用基于互信息的算法来解决。文中给出了在体模图像和术中采集图像上获得的结果，这些结果证明了该方法的可行性。

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