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Backprojection regularization with weighted ramp filter for tomographic reconstruction
- Source :
- EMBC
- Publication Year :
- 2015
- Publisher :
- IEEE, 2015.
-
Abstract
- Although filtered back projection (FBP) is popular, back projection then filtering (BPF) still receives a few attentions. Usually, BPF is inferior to FBP in terms of reconstruction quality. There are two main causes. First, BPF has to use a 2-dimensional discrete ramp filter formed by sampling the continuous ramp filter, resulting in DC shift and aliasing artefacts. Second, the common ramp filter amplifies high frequency noise much. To address such two issues, a weighted ramp filter is investigated to reduce the amplification of high frequency noise, and then a total-variation based back projection regularization (BPR) method is developed to mitigate the DC shift and improve the robustness to noise. The experimental results show that BPR outperforms FBP for low-dose CT imaging reconstruction. Refereed/Peer-reviewed
- Subjects :
- filter
reconstruction
backprojection
Tomographic reconstruction
business.industry
ramp filter
Filter (signal processing)
Models, Theoretical
Filtered backprojection
Robustness (computer science)
Image Processing, Computer-Assisted
Computer vision
Artificial intelligence
Ct imaging
Artifacts
Tomography, X-Ray Computed
business
Frequency noise
Algorithms
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Accession number :
- edsair.doi.dedup.....9cf6f18bca3e077610de6a092fd64e23