首页> 外文会议>6th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2003) Pt.II; Nov 15-18, 2003; Montreal, Canada >Three-Dimensional Segmentation of Brain Aneurysms in CTA Using Non-parametric Region-Based Information and Implicit Deformable Models: Method and Evaluation
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Three-Dimensional Segmentation of Brain Aneurysms in CTA Using Non-parametric Region-Based Information and Implicit Deformable Models: Method and Evaluation

机译:基于非参数区域信息和隐式可变形模型的CTA中脑动脉瘤的三维分割:方法和评估

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摘要

Knowledge of brain aneurysm dimensions is essential in minimally invasive surgical interventions using Guglielmi Detachable Coils. These parameters are obtained in clinical routine using 2D maximum intensity projection images. Automated quantification of the three dimensional structure of aneurysms directly from the 3D data set may be used to provide accurate and objective measurements of the clinically relevant parameters. In this paper we present an algorithm devised for the segmentation of brain aneurysms based on implicit deformable models combined with non-parametric region-based information. This work also presents the evaluation of the method in a clinical data base of 39 cases.
机译:在使用Guglielmi可拆式线圈进行的微创外科手术中,脑动脉瘤的尺寸知识至关重要。这些参数是在临床常规程序中使用2D最大强度投影图像获得的。直接从3D数据集中自动量化动脉瘤的三维结构可用于提供临床相关参数的准确和客观的测量值。在本文中,我们提出了一种基于隐式可变形模型结合非参数区域信息的脑动脉瘤分割算法。这项工作还提出了在39例临床数据库中对该方法的评估。

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