Respiratory motion correction with an improved demons algorithm for PET images
Respiratory motion is a major factor that affects the quality of PET images of the thoracic area. The diaphragm moves about 15–20 mm due to respiratory motion, which substantially degrades the effective spatial resolution of PET. In this paper, a gated acquisition method is used to correct the motio...
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Published in | Chinese physics C Vol. 36; no. 10; pp. 1025 - 1030 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
01.10.2012
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Subjects | |
Online Access | Get full text |
ISSN | 1674-1137 0254-3052 |
DOI | 10.1088/1674-1137/36/10/020 |
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Summary: | Respiratory motion is a major factor that affects the quality of PET images of the thoracic area. The diaphragm moves about 15–20 mm due to respiratory motion, which substantially degrades the effective spatial resolution of PET. In this paper, a gated acquisition method is used to correct the motion effects. In this method, an improved demons algorithm is proposed to align the gated images. The experimental results show that the quality of PET images is significantly improved when using our improved method and the proposed method has a faster convergence rate than the original demons algorithm. |
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Bibliography: | motion correction; demons algorithm; discontinuity; PET 11-5641/O4 GAO Juan CHAI Pei YUN Ming-Kai LIU Shuang-Quan SHAN Bao-Ci WEI Long ( 1 Key Laboratory of Nuclear Analysis Techniques, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China 2 Graduate University of Chinese Academy of Sciences, Beijing 100049, China ) Respiratory motion is a major factor that affects the quality of PET images of the thoracic area. The diaphragm moves about 15–20 mm due to respiratory motion, which substantially degrades the effective spatial resolution of PET. In this paper, a gated acquisition method is used to correct the motion effects. In this method, an improved demons algorithm is proposed to align the gated images. The experimental results show that the quality of PET images is significantly improved when using our improved method and the proposed method has a faster convergence rate than the original demons algorithm. ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 1674-1137 0254-3052 |
DOI: | 10.1088/1674-1137/36/10/020 |