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

Research output: Contribution to journalArticle

Abstract

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
Volume24
Issue numbers1
DOIs
Publication statusPublished - 2015 Dec 8

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Bioengineering
  • Biomaterials
  • Information Systems
  • Biomedical Engineering
  • Health Informatics

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  • Cite this

    Hsu, C. Y., Lai, Y-L., Chen, C. C., Lee, Y. T., Tseng, K. K., Lai, Y. K., Zheng, C. Y., & Jheng, H. C. (2015). Time sequence image analysis of positron emission tomography using wavelet transformation. Technology and Health Care, 24(s1), S393-S400. https://doi.org/10.3233/THC-151105