ArticleScientific reports2015
Statistical iterative reconstruction algorithm for X-ray phase-contrast CT.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 46 citations in OpenAlex.
- Adaptive filtering method for reducing signal saturation induced artifacts in X-ray dark-field tomography.Scientific reports · 2026Article
- Visualization of the hatching of brine shrimp eggs using ultrafast and high-resolution phase-contrast CTs.APL bioengineering · 2025Article
- Grating-based phase-contrast computed tomography for breast tissue at an inverse compton source.Scientific reports · 2024Article
- An optimized EBRSA-Bi LSTM model for highly undersampled rapid CT image reconstruction.Biomedical signal processing and control · 2023Article
- Iterative phase contrast CT reconstruction with novel tomographic operator and data-driven prior.PloS one · 2022Article
- High-resolution and sensitivity bi-directional x-ray phase contrast imaging using 2D Talbot array illuminators.Optica · 2021Article
- Quantitative X-ray phase contrast computed tomography with grating interferometry : Biomedical applications of quantitative X-ray grating-based phase contrast computed tomography.European journal of nuclear medicine and molecular imaging · 2021Review
- In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice.Physics and imaging in radiation oncology · 2021Article
- The evolution of image reconstruction for CT-from filtered back projection to artificial intelligence.European radiology · 2019Review
- Article
- Tilted grating phase-contrast computed tomography using statistical iterative reconstruction.Scientific reports · 2018Article
- Implementation of a Talbot-Lau interferometer in a clinical-like c-arm setup: A feasibility study.Scientific reports · 2018Article
- Electron Density of Adipose Tissues Determined by Phase-Contrast Computed Tomography Provides a Measure for Mitochondrial Density and Fat Content.Frontiers in physiology · 2018Article
- Grating-based phase-contrast and dark-field computed tomography: a single-shot method.Scientific reports · 2017Article
- Improved reconstruction of phase-stepping data for Talbot-Lau x-ray imaging.Journal of medical imaging (Bellingham, Wash.) · 2017Article
- Qualitative and Quantitative Imaging Evaluation of Renal Cell Carcinoma Subtypes with Grating-based X-ray Phase-contrast CT.Scientific reports · 2017Article
- Revising the lower statistical limit of x-ray grating-based phase-contrast computed tomography.PloS one · 2017Article
- Experimental Realisation of High-sensitivity Laboratory X-ray Grating-based Phase-contrast Computed Tomography.Scientific reports · 2016Article
- Grating-based X-ray Dark-field Computed Tomography of Living Mice.EBioMedicine · 2015Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Grating-based phase-contrast computed tomography (PCCT) is a promising imaging tool on the horizon for pre-clinical and clinical applications. Until now PCCT has been plagued by strong artifacts when dense materials like bones are present. In this paper, we present a new statistical iterative reconstruction algorithm which overcomes this limitation. It makes use of the fact that an X-ray interferometer provides a conventional absorption as well as a dark-field signal in addition to the phase-contrast signal. The method is based on a statistical iterative reconstruction algorithm utilizing maximum-a-posteriori principles and integrating the statistical properties of the raw data as well as information of dense objects gained from the absorption signal. Reconstruction of a pre-clinical mouse scan illustrates that artifacts caused by bones are significantly reduced and image quality is improved when employing our approach. Especially small structures, which are usually lost because of streaks, are recovered in our results. In comparison with the current state-of-the-art algorithms our approach provides significantly improved image quality with respect to quantitative and qualitative results. In summary, we expect that our new statistical iterative reconstruction method to increase the general usability of PCCT imaging for medical diagnosis apart from applications focused solely on soft tissue visualization.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.