Affiliations: [a] Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung, Taiwan | [b] Department of Mechatronics Engineering, National Changhua University of Education, Changhua, Taiwan | [c] Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan | [d] Shenzhen Graduate School, Harbin Institute of Technology, HIT Campus of Shenzhen University Town, Shenzhen, China | [e] Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan
Correspondence:
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Corresponding author: Yeong-Lin Lai, Department of Mechatronics Engineering, National Changhua University of Education, Changhua 50007, Taiwan. E-mail:[email protected]
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.
Keywords: Image segmentation, positron emission tomography (PET), region of interest (ROI), wavelet transformation
