Image segmentation method with positron emission tomography time sequence images

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

doi:10.1109/IBICA.2011.96

Image segmentation method with positron emission tomography time sequence images

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

機電工程學系

研究成果: Paper

1 引文斯高帕斯（Scopus）

摘要

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.

原文	English
頁面	367-370
頁數	4
DOIs	https://doi.org/10.1109/IBICA.2011.96
出版狀態	Published - 2011 十二月 1
事件	2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011 - Shenzhen, Guangdong, China 持續時間: 2011 十二月 16 → 2011 十二月 18

Other

Other	2011 2nd International Conference on Innovations in Bio-inspired Computing and Applications, IBICA 2011
國家	China
城市	Shenzhen, Guangdong
期間	11-12-16 → 11-12-18

All Science Journal Classification (ASJC) codes

Biotechnology
Computational Theory and Mathematics
Computer Science Applications

存取文件

10.1109/IBICA.2011.96

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引用此

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. 論文發表於 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

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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.",

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