ANALYSIS OF THE EFFECTIVENESS OF SELECTED SEGMENTATION METHODS OF ANATOMICAL BRAIN STRUCTURES

Q4 Engineering
R. Dzierżak, Magdalena Michalska
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引用次数: 7

Abstract

An important aspect of analysis medical images is acknowledging the role of the segmentation process of individual anatomical structures. This process allows to show the most important diagnostic details. Owing to the segmentation the areas of interest (ROI) it is possible to adapt the methods of further image analysis considering the specification of selected elements. This process has been widely used in medical diagnostics. The article presents the use of segmentation by thresholding, segmentation by region growth and by edge detection to extract the parts of the human brain the user is interested in. The series of MRI (magnetic resonance imaging) images were used. The aim of the research was to develop the methods that would allow comparing the effectiveness various types of anatomical brain structures’ segmentation in two dimensions. The above methods present the different impact that selected types of segmentation, masks or parameters have on the most accurate depiction of a selected human brain element.
脑解剖结构分割方法的有效性分析
医学图像分析的一个重要方面是承认个体解剖结构分割过程的作用。此过程允许显示最重要的诊断细节。由于对感兴趣区域(ROI)的分割,可以根据所选元素的规格调整进一步图像分析的方法。这一过程已广泛应用于医学诊断。本文介绍了使用阈值分割、区域增长分割和边缘检测来提取用户感兴趣的人脑部分。采用一系列MRI(磁共振成像)图像。本研究的目的是开发一种方法,可以在二维上比较不同类型的脑解剖结构分割的有效性。上述方法展示了所选择的分割类型、掩码或参数对所选择的人脑元素的最准确描述的不同影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
40
审稿时长
10 weeks
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