Abstract
Iterative image reconstruction techniques for computer tomography (CT) are finite iterations of forward-projections and backward projections. One of the major concerns related to this method is deterioration of the reconstructed images due to various image structure deformations during this procedure. This is usually manifested by blotchy and pixelated appearances of the reconstructed image with the effects becoming more pronounced for low and ultra-low scan angles. This paper proposes a new approach for the reconstruction of CT images ensuring the preservation of structural details and reduced image deterioration and deformation. We call this method iterative reconstruction through preserved structures (IR-PS). The results achieved using proposed IR-PS method are evaluated via RMSE (Root Mean Square Error) measure and SSIM (Structural SIMiliarity) index suggesting improvement in quality of reconstructed images.
Original language | English |
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Title of host publication | IMIP '19: Proceedings of the 2019 International Conference on Intelligent Medicine and Image Processing |
Publisher | Association for Computing Machinery |
Pages | 72-77 |
Number of pages | 6 |
ISBN (Print) | 978-1-4503-6269-6 |
DOIs | |
Publication status | Published - 22 Apr 2019 |
Event | 3rd International Conference on Frontiers of Image Processing - Florence, Italy Duration: 16 Mar 2019 → 18 Mar 2019 http://www.icfip.org/ |
Conference
Conference | 3rd International Conference on Frontiers of Image Processing |
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Abbreviated title | ICFIP 2019 |
Country/Territory | Italy |
City | Florence |
Period | 16/03/19 → 18/03/19 |
Internet address |
Keywords
- computed tomography
- iterative image reconstruction
- image degradation
- limited scan angle
- CT reconstruction