Time sequence image analysis of positron emission tomography using wavelet transformation

Chih Yu Hsu, Yeong Lin Lai*, Chih Cheng Chen, Yu Tzu Lee, Kuo Kun Tseng, Yeong Kang Lai, Chun Yi Zheng, Huai Cian Jheng

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

2 Scopus citations


This paper presents the time sequence image analysis technique of positron emission tomography (PET) using a wavelet transformation method. The abdominal cavity of a person taking [18F]Fluoro-2-deoxy-2-D-glucose (18F-FDG) was scanned by the dynamic PET. The organ selection with dynamic PET images was conducted by the wavelet transformation to implement automatic selection of the region of interest (ROI). The image segmentation was carried out by the processes of sampling, wavelet transformation, erosion, dilation, and superimposition. Wavelet constructed image (WCI) contours were created by sampling 512 images from 1960 consecutive dynamic sequence PET images. The image segmentation technology developed can help doctors automatically select ROI, accurately identify lesion locations of organs, and thus effectively reduce human operation time and errors.

Original languageEnglish
Pages (from-to)S393-S400
JournalTechnology and Health Care
Issue numbers1
StatePublished - 08 12 2015
Externally publishedYes

Bibliographical note

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© 2016 - IOS Press and the authors. All rights reserved.


  • Image segmentation
  • positron emission tomography (PET)
  • region of interest (ROI)
  • wavelet transformation


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