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A method for extracting the internal structure of biomedical images based on SRG and texture gradient

✍ Scribed by Hu Xia; Zheng Limin; Zhu Hong; Wu Ping; Ming Wenhua; Song Zheng; Guo Huiyuan; Ren Fazheng

Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
822 KB
Volume
51
Category
Article
ISSN
0895-7177

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✦ Synopsis

The aim of this paper is to introduce a modified method by integrating the traditional isolated connected algorithm, which is based on SRG (Seeded Region Growing), with the texture gradient. To extend the method's application, we not only obtained the boundary and the internal structure of 150 CT images of trabecular bone of mice, but also gained grasshoppers' spore images which have no obscure texture. The experiment shows that this method can obtain the boundary and the internal structure of the desired part of the biomedical images quickly and reliably. It has practical value in biomedical image analysis.

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## Abstract ## Purpose To investigate the reproducibility and transferability of texture features between MR centers, and to compare two feature selection methods and two classifiers. ## Materials and Methods Coronal T1‐weighted MR images of the knees of 63 patients, divided into three groups, w