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 |
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頁面 | 367-370 |
頁數 | 4 |
DOIs | |
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 |
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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