Rahman, Sami ur ; Wesarg, Stefan (2010)
Upsampling of Cardiac MR Images: Comparison of Averaging and Super-Resolution for the Combination of Multiple Views.
ITAB 2010.
Conference or Workshop Item, Bibliographie
Abstract
In cardiac imaging quantitative analysis heavily depends on the quality of the available image data. Cardiac MRI provides highly anisotropic voxel data. By combining multiple orthogonal data sets, isotropic volume data can be reconstructed. In this paper we investigate the increase in image quality by the use of a super-resolution reconstruction (SRR) algorithm. In particular, we compare a simple averaging with an SRR for combining two and three orthogonal views, respectively. We show that SRR outperforms averaging in case of the combination of two views, but that in case of three views SRR has no additional benefit compared to averaging. We conclude that for cardiac images where motion of the organ plays an important role the prior alignment of the image data sets is a limiting factor for successfully applying an SRR.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2010 |
| Creators: | Rahman, Sami ur ; Wesarg, Stefan |
| Type of entry: | Bibliographie |
| Title: | Upsampling of Cardiac MR Images: Comparison of Averaging and Super-Resolution for the Combination of Multiple Views |
| Language: | English |
| Date: | 2010 |
| Publisher: | IEEE, Inc., New York |
| Event Title: | ITAB 2010 |
| Abstract: | In cardiac imaging quantitative analysis heavily depends on the quality of the available image data. Cardiac MRI provides highly anisotropic voxel data. By combining multiple orthogonal data sets, isotropic volume data can be reconstructed. In this paper we investigate the increase in image quality by the use of a super-resolution reconstruction (SRR) algorithm. In particular, we compare a simple averaging with an SRR for combining two and three orthogonal views, respectively. We show that SRR outperforms averaging in case of the combination of two views, but that in case of three views SRR has no additional benefit compared to averaging. We conclude that for cardiac images where motion of the organ plays an important role the prior alignment of the image data sets is a limiting factor for successfully applying an SRR. |
| Uncontrolled Keywords: | Forschungsgruppe Medical Computing (MECO), Super resolution, Magnetic resonance imaging (MRI), Cardiology, Image enhancement |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
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