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首页> 外文期刊>IEEE Transactions on Biomedical Engineering >Three-dimensional anatomical model-based segmentation of MR brain images through principal axes registration
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Three-dimensional anatomical model-based segmentation of MR brain images through principal axes registration

机译：通过主轴配准的基于三维解剖模型的MR脑图像分割

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摘要

Model-based segmentation and analysis of brain images depends on anatomical knowledge which may be derived from conventional atlases. Classical anatomical atlases are based on the rigid spatial distribution provided by a single cadaver. Their use to segment internal anatomical brain structures in a high-resolution MR brain image does not provide any knowledge about the subject variability, and therefore they are not very efficient in analysis. The authors present a method to develop three-dimensional computerized composite models of brain structures to build a computerized anatomical atlas. The composite models are developed using the real MR brain images of human subjects which are registered through the principal axes transformation. The composite models provide probabilistic spatial distributions, which represent the variability of brain structures and can be easily updated for additional subjects. The authors demonstrate the use of such a composite model of ventricular structure to help segmentation of the ventricles and cerebrospinal fluid of MR brain images. Here, a composite model of ventricles using a set of 22 human subjects is developed and used in a model-based segmentation of ventricles, sulci, and white matter lesions. To illustrate the clinical usefulness, automatic volumetric measurements on ventricular size and cortical atrophy for an additional eight alcoholics and 10 normal subjects were made. The volumetric quantitative results indicated regional brain atrophy in chronic alcoholics.
机译：基于模型的脑图像分割和分析取决于解剖学知识，这些知识可能来自常规地图集。经典的解剖图集基于单个尸体提供的刚性空间分布。它们在高分辨率的MR脑图像中用于分割内部解剖脑结构的用途并未提供有关受试者变异性的任何知识，因此它们在分析中不是非常有效。作者提出了一种开发大脑结构的三维计算机合成模型以构建计算机解剖图集的方法。使用人体主体的真实MR大脑图像开发了复合模型，这些图像通过主轴变换进行配准。合成模型提供了概率性空间分布，代表了大脑结构的可变性，可以轻松地为其他对象更新。作者展示了这种心室结构复合模型的使用，以帮助对MR脑图像的心室和脑脊液进行分割。在这里，开发了一组使用22名人类受试者的心室综合模型，并将其用于基于模型的心室，沟和白质病变的分割。为了说明其临床实用性，对另外8名酒精中毒者和10名正常人进行了自动心室大小和皮质萎缩的体积测量。体积定量结果表明在慢性酒精中毒患者中区域性脑萎缩。

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