基于形态学分割的脑MRI特征检索

P. Ingole, K. Kulat
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引用次数: 3

摘要

特定领域图像的检索是一个重要的研究领域。相似磁共振图像的人脑磁共振图像检索是放射学医学诊断领域的一个重要应用。提出了一种形态学分割方法,用于人脑T2加权MR图像区域特征的突出和提取。本文进一步阐述了这些特征的模糊表示及其在脑MRI检索中的应用。分割结果表明,与模糊c均值聚类方法相比,分割质量有明显提高,并与人工分割结果相吻合。此外,在检索中也发现它在精度和平均排名方面给出了更好的检索结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Morphological Segmentation Based Features for Brain MRI Retrieval
Retrieval of domain specific images is an important research area. Human brain MR Image retrieval of similar MR Images is an important application in Radiology field of medical diagnostics. Morphological segmentation is proposed for highlighting and extraction of the region based features of human brain T2 - weighted MR Images. Further fuzzy representation of these features and its use in retrieval of brain MRI is demonstrated in this paper. Segmentation results show a marked improvement in the quality of segmentation as compared to Fuzzy c-means clustering method and confirmed with manual segmentation. Further its use in retrieval has also found to give better retrieval results in terms of precision and average rank.
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