Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case
Abstract In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise. The state-of-the-art TOF PET image reconstruction uses...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2019-12-01
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| Series: | Visual Computing for Industry, Biomedicine, and Art |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42492-019-0035-4 |
| _version_ | 1818350644222754816 |
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| author | Gengsheng L. Zeng Ya Li Qiu Huang |
| author_facet | Gengsheng L. Zeng Ya Li Qiu Huang |
| author_sort | Gengsheng L. Zeng |
| collection | DOAJ |
| description | Abstract In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise. The state-of-the-art TOF PET image reconstruction uses iterative algorithms. Analytical image reconstruction algorithm exits for TOF PET which emulates the iterative Landweber algorithm. This paper introduces such an algorithm, focusing on two-dimensional (2D) reconstruction. The proposed algorithm is in the form of backprojection filtering, in which the backprojection is performed first, and then a 2D filter is applied to the backprojected image. For the list-mode data, the backprojection is carried out in the event-by-event fashion, and a profile function may be used along the projection LOR. The 2D filter depends on the TOF timing resolution as well as the backprojection profile function. In order to emulate the iterative algorithm effects, a Fourier-domain window function is suggested. This window function has a parameter, k, which corresponds to the iteration number in an iterative algorithm. |
| first_indexed | 2024-12-13T18:25:07Z |
| format | Article |
| id | doaj.art-6021108baa5245f9862345e6ab13929f |
| institution | Directory Open Access Journal |
| issn | 2524-4442 |
| language | English |
| last_indexed | 2024-12-13T18:25:07Z |
| publishDate | 2019-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Visual Computing for Industry, Biomedicine, and Art |
| spelling | doaj.art-6021108baa5245f9862345e6ab13929f2022-12-21T23:35:37ZengSpringerOpenVisual Computing for Industry, Biomedicine, and Art2524-44422019-12-01211710.1186/s42492-019-0035-4Analytic time-of-flight positron emission tomography reconstruction: two-dimensional caseGengsheng L. Zeng0Ya Li1Qiu Huang2Department of Engineering, Utah Valley UniversityDepartment of Mathematics, Utah Valley UniversitySchool of Biomedical Engineering, Shanghai Jiaotong UniversityAbstract In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise. The state-of-the-art TOF PET image reconstruction uses iterative algorithms. Analytical image reconstruction algorithm exits for TOF PET which emulates the iterative Landweber algorithm. This paper introduces such an algorithm, focusing on two-dimensional (2D) reconstruction. The proposed algorithm is in the form of backprojection filtering, in which the backprojection is performed first, and then a 2D filter is applied to the backprojected image. For the list-mode data, the backprojection is carried out in the event-by-event fashion, and a profile function may be used along the projection LOR. The 2D filter depends on the TOF timing resolution as well as the backprojection profile function. In order to emulate the iterative algorithm effects, a Fourier-domain window function is suggested. This window function has a parameter, k, which corresponds to the iteration number in an iterative algorithm.https://doi.org/10.1186/s42492-019-0035-4Positron emission tomographyTime-of-flightAnalytic reconstruction |
| spellingShingle | Gengsheng L. Zeng Ya Li Qiu Huang Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case Visual Computing for Industry, Biomedicine, and Art Positron emission tomography Time-of-flight Analytic reconstruction |
| title | Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case |
| title_full | Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case |
| title_fullStr | Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case |
| title_full_unstemmed | Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case |
| title_short | Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case |
| title_sort | analytic time of flight positron emission tomography reconstruction two dimensional case |
| topic | Positron emission tomography Time-of-flight Analytic reconstruction |
| url | https://doi.org/10.1186/s42492-019-0035-4 |
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