Image segmentation method with positron emission tomography time sequence images

Chih Yu Hsu, Yeong Lin Lai, Chih Cheng Chen, Yu Tzu Lee

研究成果: Paper

1 引文 斯高帕斯(Scopus)

摘要

Positron emission tomography(PET)images are often used to detect physiology function.However,PET images have more blurs than anatomic images,such as magnetic resonance imaging(MRI)and computed tomography(CT).With the graylevel of PET images,Doctors need to manually obtain the region of interest(ROI).THis paper presents a PET image segmentation technology based on the wavelet theory.Through sampling,recombination,and fetching the thresholds of images,theimage segmentation with 1960 dynamic PET images of abdominal organs were conducted. Compared with a sigle PET image, the image segmentation technology proposed can accurately and rapidly identify the boundaries of organs,such as the small intestines,the liver,and the kidney,as well as efficiently provide the ROI information for doctors.

原文English
頁面367-370
頁數4
DOIs
出版狀態Published - 2011 十二月 1
事件2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011 - Shenzhen, Guangdong, China
持續時間: 2011 十二月 162011 十二月 18

Other

Other2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011
國家China
城市Shenzhen, Guangdong
期間11-12-1611-12-18

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computational Theory and Mathematics
  • Computer Science Applications

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    Hsu, C. Y., Lai, Y. L., Chen, C. C., & Lee, Y. T. (2011). Image segmentation method with positron emission tomography time sequence images. 367-370. 論文發表於 2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011, Shenzhen, Guangdong, China. https://doi.org/10.1109/IBICA.2011.96