ACCELERATED ITERATIVE RECONSTRUCTION OF PHANTOM «ROZI» BY OS-SART METHOD USING ORDERED SUBSET PROJECTIONS
The statistical maximum likelihood (EM) method and the algebraic reconstruction method with simultaneous iterations (SART) are two methods of iterative tomographic reconstruction. These algorithms are often used when the projection data contains a large amount of statistical noise or has been obtain...
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| Format: | Article |
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Belarusian National Technical University
2017-08-01
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| Series: | Системный анализ и прикладная информатика |
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| Online Access: | https://sapi.bntu.by/jour/article/view/159 |
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| author | S. A. Zolotarev M. M. Mieteeg A. N. Al-Nadfa |
| author_facet | S. A. Zolotarev M. M. Mieteeg A. N. Al-Nadfa |
| author_sort | S. A. Zolotarev |
| collection | DOAJ |
| description | The statistical maximum likelihood (EM) method and the algebraic reconstruction method with simultaneous iterations (SART) are two methods of iterative tomographic reconstruction. These algorithms are often used when the projection data contains a large amount of statistical noise or has been obtained from a limited range of angles. One of the popular approaches used to increase the rate of convergence of these algorithms is to perform a correction of the current approximation of the reconstructed object on subsets of the projection data. The desire to increase the convergence rate of the iterative methods led to the use of ordered subsets of projections for both the maximum likelihood method of EM (OS-EM) and for the algebraic reconstruction method with simultaneous iterations of SART (OS-SART). The efficiency of using ordered subsets of projections was first established for sequential programs that run on the central processor of the computer (CPU). In this work, both these methods have been accelerated by using the OpenGL graphics library by mirroring them on the graphics processor architecture of the video card. |
| format | Article |
| id | doaj-art-2f888d98be1a4c36a15fd1f2c705e4e7 |
| institution | Kabale University |
| issn | 2309-4923 2414-0481 |
| language | English |
| publishDate | 2017-08-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Системный анализ и прикладная информатика |
| spelling | doaj-art-2f888d98be1a4c36a15fd1f2c705e4e72025-02-03T11:37:40ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812017-08-010241110.21122/2309-4923-2017-2-4-11122ACCELERATED ITERATIVE RECONSTRUCTION OF PHANTOM «ROZI» BY OS-SART METHOD USING ORDERED SUBSET PROJECTIONSS. A. Zolotarev0M. M. Mieteeg1A. N. Al-Nadfa2Institute of Applied Physics of the NAS of BelarusBelarusian National Technical UniversityBelarusian National Technical UniversityThe statistical maximum likelihood (EM) method and the algebraic reconstruction method with simultaneous iterations (SART) are two methods of iterative tomographic reconstruction. These algorithms are often used when the projection data contains a large amount of statistical noise or has been obtained from a limited range of angles. One of the popular approaches used to increase the rate of convergence of these algorithms is to perform a correction of the current approximation of the reconstructed object on subsets of the projection data. The desire to increase the convergence rate of the iterative methods led to the use of ordered subsets of projections for both the maximum likelihood method of EM (OS-EM) and for the algebraic reconstruction method with simultaneous iterations of SART (OS-SART). The efficiency of using ordered subsets of projections was first established for sequential programs that run on the central processor of the computer (CPU). In this work, both these methods have been accelerated by using the OpenGL graphics library by mirroring them on the graphics processor architecture of the video card.https://sapi.bntu.by/jour/article/view/159ordered-subsetscone-beam tomographyiterative reconstructionregularization |
| spellingShingle | S. A. Zolotarev M. M. Mieteeg A. N. Al-Nadfa ACCELERATED ITERATIVE RECONSTRUCTION OF PHANTOM «ROZI» BY OS-SART METHOD USING ORDERED SUBSET PROJECTIONS Системный анализ и прикладная информатика ordered-subsets cone-beam tomography iterative reconstruction regularization |
| title | ACCELERATED ITERATIVE RECONSTRUCTION OF PHANTOM «ROZI» BY OS-SART METHOD USING ORDERED SUBSET PROJECTIONS |
| title_full | ACCELERATED ITERATIVE RECONSTRUCTION OF PHANTOM «ROZI» BY OS-SART METHOD USING ORDERED SUBSET PROJECTIONS |
| title_fullStr | ACCELERATED ITERATIVE RECONSTRUCTION OF PHANTOM «ROZI» BY OS-SART METHOD USING ORDERED SUBSET PROJECTIONS |
| title_full_unstemmed | ACCELERATED ITERATIVE RECONSTRUCTION OF PHANTOM «ROZI» BY OS-SART METHOD USING ORDERED SUBSET PROJECTIONS |
| title_short | ACCELERATED ITERATIVE RECONSTRUCTION OF PHANTOM «ROZI» BY OS-SART METHOD USING ORDERED SUBSET PROJECTIONS |
| title_sort | accelerated iterative reconstruction of phantom rozi by os sart method using ordered subset projections |
| topic | ordered-subsets cone-beam tomography iterative reconstruction regularization |
| url | https://sapi.bntu.by/jour/article/view/159 |
| work_keys_str_mv | AT sazolotarev acceleratediterativereconstructionofphantomrozibyossartmethodusingorderedsubsetprojections AT mmmieteeg acceleratediterativereconstructionofphantomrozibyossartmethodusingorderedsubsetprojections AT analnadfa acceleratediterativereconstructionofphantomrozibyossartmethodusingorderedsubsetprojections |