A computer-aided method for automatic localization and thickness measurement of peritoneum in ultrasound images

Yu Shan Lin, Tsung-Chun Lee, Hsuan T. Chang, Syu Jyun Peng, Jenq Wen Huang, Hsiu Po Wang, Chung Wen Hung

研究成果: 書貢獻/報告類型會議貢獻

3 引文 斯高帕斯(Scopus)

摘要

This paper presents a method of automatically measuring peritoneum thickness in ultrasound images. In our previous work, a method of manually selecting the region of interest (ROI) area has been developed. To achieve an automatic ROI area selection, two phases: Gaussian high-pass filtering and bilateral filtering, are used in the proposed method. In the bilateral filtering phase, the ultrasound image is enhanced for obtaining more details of the peritoneum so that probable areas can be extracted. In the other phase, the ultrasound image is processed with a Gaussian high pass filter, and the result is used to locate the precise area of peritoneum in the first phase result. The experimental results show that the proposed method has high accuracy and fast processing speed in determining the peritoneum area and its thickness distribution.
原文英語
主出版物標題33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
頁面8005-8008
頁數4
DOIs
出版狀態已發佈 - 12月 26 2011
對外發佈
事件33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, 美國
持續時間: 8月 30 20119月 3 2011

出版系列

名字Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(列印)1557-170X

會議

會議33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
國家/地區美國
城市Boston, MA
期間8/30/119/3/11

ASJC Scopus subject areas

  • 訊號處理
  • 生物醫學工程
  • 電腦視覺和模式識別
  • 健康資訊學

指紋

深入研究「A computer-aided method for automatic localization and thickness measurement of peritoneum in ultrasound images」主題。共同形成了獨特的指紋。

引用此