ArticleIEEE transactions on nuclear science2015
On Few-View Tomography and Staircase Artifacts.
Article in IEEE transactions on nuclear science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- A TV-BM3D Iterative Algorithm for VMAT-CT Reconstruction.Journal of imaging · 2026Article
- Image Reconstruction with Maclaurin Series Expansion.International journal of biomedical research & practice · 2025Article
- Extreme Few-View Tomography without Training Data.Biomedical journal of scientific & technical research · 2024Article
- Iterative Image Reconstruction with Under-Sampled Data Assisted by a Neural Network.Journal of biotechnology and its applications · 2023Article
- Counter examples for unmatched projector/backprojector in an iterative algorithm.Chinese journal of academic radiology · 2019Article
- Subspace-based resolution-enhancing image reconstruction method for few-view differential phase-contrast tomography.Journal of medical imaging (Bellingham, Wash.) · 2018Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
This paper investigates some potential methods for few-view tomography, and investigates the cause and remedy of the staircase artifacts. This paper also discusses whether there is any benefit to use edge-preserving filters in emission tomography. We formulate a general Green's one-step-late algorithm, so that it can incorporate any linear or non-linear filters. We argue that the derivative of the penalty function can be "artificially" created, not naturally derived from a penalty function. We have gained more insight into constrained image reconstruction especially with edge-preserving constraints. Our numerical results show that the bilateral method can have better performance than the TV method, and higher order methods may not be necessary for non-piecewise-constant objects.
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Registered trials
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