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首页> 外文期刊>British Journal of Mathematics Computer Science >An Automated System for Atlas Based Multiple OrganSegmentation of Abdominal CT Images
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An Automated System for Atlas Based Multiple OrganSegmentation of Abdominal CT Images

机译:基于Atlas的腹部CT图像多器官分割自动化系统

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摘要

In this paper, an efficient atlas based approach for multiple abdominal organ segmentation is presented. This automatic segmentation of different organs such as spine, kidneys, liver, aorta, spleen of abdominal image is based on allocation of spine as landmark. In current years several researches has been done for developing automatic segmentation techniques of abdominal CT images however still it is an incredibly challenging task to segment this efficiently and appropriately. This paper proposed a fully automatic system for abdominal image segmentation by marking spine as landmark to extract different organs using a fuzzy based system. The proposed technique uses the fact that multiple organs of abdominal images are situated at a particular distance and in particular range of angles from the spine and spine is the solitary organ which is frequent in the slices of CT image data set. In this paper we focused for the segmentation of liver, kidney, aorta, spine, spleen. This system is evaluated on the data of several patients (152 CT images which consist all such organs) and obtained significant results by comparing the computed results to the boundaries manually traced by experts.
机译:在本文中,提出了一种有效的基于地图集的腹部腹部器官分割方法。对不同器官(例如脊柱,肾脏,肝脏,主动脉,腹部图像的脾脏)的这种自动分割是基于脊柱作为界标的分配。近年来,已经进行了一些研究以开发腹部CT图像的自动分割技术,然而,有效而适当地分割仍然是一项艰巨的任务。本文提出了一种全自动的腹部图像分割系统,该系统将脊柱标记为界标,并使用基于模糊的系统提取不同器官。所提出的技术利用了这样的事实,即腹部图像的多个器官位于距脊柱特定的距离和特定角度范围内,并且脊柱是孤立的器官,在CT图像数据集的切片中经常出现。在本文中,我们集中于肝,肾,主动脉,脊柱,脾的分割。该系统是根据几位患者的数据进行评估的(包括所有此类器官的152张CT图像),并且通过将计算结果与专家手动跟踪的边界进行比较,获得了显着结果。

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