使用强度/特征信息的非刚性三维脑图谱配准

Nonrigid 3D brain registration using intensity/feature information.

作者信息

DeLorenzo Christine, Papademetris Xenophon, Wu Kun, Vives Kenneth P, Spencer Dennis, Duncan James S

机构信息

Department of Electrical Engineering, Yale University, P.O. Box 208042 New Haven, CT 06520-8042, USA.

出版信息

Med Image Comput Comput Assist Interv. 2006;9(Pt 1):932-9. doi: 10.1007/11866565_114.

DOI:10.1007/11866565_114

PMID:17354980

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2864121/

Abstract

The brain deforms non-rigidly during neurosurgery, preventing preoperatively acquired images from accurately depicting the intraoperative brain. If the deformed brain surface can be detected, biomechanical models can be applied to calculate the resulting volumetric deformation. The reliability of this volumetric calculation is dependent on the accuracy of the surface detection. This work presents a surface tracking algorithm which relies on Bayesian analysis to track cortical surface movement. The inputs to the model are 3D preoperative brain images and intraoperative stereo camera images. The addition of a camera calibration optimization term creates a more robust model, capable of tracking the cortical surface in the presence of camera calibration error.

摘要

在神经外科手术过程中，大脑会发生非刚性变形，这使得术前获取的图像无法准确描绘术中的大脑情况。如果能够检测到变形的大脑表面，就可以应用生物力学模型来计算由此产生的体积变形。这种体积计算的可靠性取决于表面检测的准确性。这项工作提出了一种表面跟踪算法，该算法依靠贝叶斯分析来跟踪皮质表面的运动。该模型的输入是术前的三维脑部图像和术中的立体相机图像。添加相机校准优化项可创建一个更强大的模型，能够在存在相机校准误差的情况下跟踪皮质表面。

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本文引用的文献

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Serial registration of intraoperative MR images of the brain.脑部术中磁共振图像的连续配准

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Intraoperative brain shift and deformation: a quantitative analysis of cortical displacement in 28 cases.术中脑移位和变形：28例皮质移位的定量分析

Neurosurgery. 1998 Oct;43(4):749-58; discussion 758-60. doi: 10.1097/00006123-199810000-00010.

Intraoperative magnetic resonance imaging to update interactive navigation in neurosurgery: method and preliminary experience.术中磁共振成像用于更新神经外科手术中的交互式导航：方法与初步经验

Comput Aided Surg. 1997;2(3-4):172-9.

Use of cortical surface vessel registration for image-guided neurosurgery.

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