Image segmentation method with positron emission tomography time sequence images

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

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages367-370
Number of pages4
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011 - Shenzhen, Guangdong, China
Duration: 2011 Dec 162011 Dec 18

Other

Other2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011
CountryChina
CityShenzhen, Guangdong
Period11-12-1611-12-18

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All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computational Theory and Mathematics
  • Computer Science Applications

Cite this

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. Paper presented at 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