Improved maximally stable extremal regions based method for the segmentation of ultrasonic liver images

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• 作者：Haijiang Zhu ; Junhui Sheng ; Fan Zhang ; Jinglin Zhou…
• 关键词：Modified Maximally Stable Extremal Region ; Ultrasound liver image ; Segmentation of liver lesions
• 刊名：Multimedia Tools and Applications
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：75
• 期：18
• 页码：10979-10997
• 全文大小：4,895 KB
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721
• 卷排序：75

文摘

The goal of this paper is to propose a modified maximally stable extremal region (MSER) based method for the segmentation of ultrasound liver images. Firstly, the feature regions including liver lesions are extracted using the modified MSER detector. Unlike the MSER algorithm, the improved MSER detector merely needs dozens of gray levels rather than 256 possible gray levels ranging from 0 to 255. Next, the edges of the liver lesions are detected from the binary images, and a merging strategy is designed to refine the contour of the liver lesion. The last step is the segmentation of the liver lesion according to the refined contour. The segmentation results of ultrasound liver images demonstrate that there is a significant correlation between the liver lesions selected by a medical expert and the liver lesions segmented by the proposed method. A comparison of the proposed method and other segmented methods shows that the proposed method can detect a more accurate contour of liver lesion images.