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

doi:10.3233/THC-151105

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 journal › Journal Article › peer-review

2 Scopus citations

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 language	English
Pages (from-to)	S393-S400
Journal	Technology and Health Care
Volume	24
Issue number	s1
DOIs	https://doi.org/10.3233/THC-151105
State	Published - 08 12 2015
Externally published	Yes

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

Keywords

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

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10.3233/THC-151105

Cite this

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title = "Time sequence image analysis of positron emission tomography using wavelet transformation",

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.",

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AU - Hsu, Chih Yu

AU - Lai, Yeong Lin

AU - Chen, Chih Cheng

AU - Lee, Yu Tzu

AU - Tseng, Kuo Kun

AU - Lai, Yeong Kang

AU - Zheng, Chun Yi

AU - Jheng, Huai Cian

PY - 2015/12/8

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N2 - 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.

AB - 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.

KW - Image segmentation

KW - positron emission tomography (PET)

KW - region of interest (ROI)

KW - wavelet transformation

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SP - S393-S400

JO - Technology and Health Care

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IS - s1

ER -

Time sequence image analysis of positron emission tomography using wavelet transformation

Abstract

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Keywords

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