ReviewMedical physics2017
Applications of nonlocal means algorithm in low-dose X-ray CT image processing and reconstruction: A review.
Review in Medical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 102 citations in OpenAlex.
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- Reconstruction of three-dimensional fractures in coal based on multidirection slicing and U-Net segmentation.Journal of advanced research · 2026Article
- Branchless distance-driven and hybrid projectors in iterative cone beam CT.Journal of X-ray science and technology · 2026Article
- A TV-BM3D Iterative Algorithm for VMAT-CT Reconstruction.Journal of imaging · 2026Article
- CT image denoising methods for image quality improvement and radiation dose reduction.Journal of applied clinical medical physics · 2024Review
- Optimization Method to Predict Optimal Noise Reduction Parameters for the Non-Local Means Algorithm Based on the Scintillator Thickness in Radiography.Sensors (Basel, Switzerland) · 2023Article
- Affine Iterative Closest Point Algorithm Based on Color Information and Correntropy for Precise Point Set Registration.Sensors (Basel, Switzerland) · 2023Article
- An optimized EBRSA-Bi LSTM model for highly undersampled rapid CT image reconstruction.Biomedical signal processing and control · 2023Article
- Synthetic Data Generation for Automatic Segmentation of X-ray Computed Tomography Reconstructions of Complex Microstructures.Journal of imaging · 2023Article
- Automated development of the contrast-detail curve based on statistical low-contrast detectability in CT images.Journal of applied clinical medical physics · 2022Article
- Low-Dose CT Image Post-Processing Based on Learn-Type Sparse Transform.Sensors (Basel, Switzerland) · 2022Article
- Artificial Intelligence in Radiation Therapy.IEEE transactions on radiation and plasma medical sciences · 2022Article
- Intelligent Algorithm-Based Multislice Spiral Computed Tomography to Diagnose Coronary Heart Disease.Computational and mathematical methods in medicine · 2022Observational
- General simultaneous motion estimation and image reconstruction (G-SMEIR).Biomedical physics & engineering express · 2021Article
- Prior-image-based CT reconstruction using attenuation-mismatched priors.Physics in medicine and biology · 2021Article
- Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising.IEEE transactions on radiation and plasma medical sciences · 2021Article
- Computed Tomography Image Texture under Feature Extraction Algorithm in the Diagnosis of Effect of Specific Nursing Intervention on Mycoplasma Pneumonia in Children.Journal of healthcare engineering · 2021Article
- Computed Tomography- (CT-) Based Virtual Surgery Planning for Spinal Intervertebral Foraminal Assisted Clinical Treatment.Journal of healthcare engineering · 2021Article
- Noise Reduction in CT Images Using a Selective Mean Filter.Journal of biomedical physics & engineering · 2020Article
- SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models.IEEE transactions on medical imaging · 2020Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Low-dose X-ray computed tomography (LDCT) imaging is highly recommended for use in the clinic because of growing concerns over excessive radiation exposure. However, the CT images reconstructed by the conventional filtered back-projection (FBP) method from low-dose acquisitions may be severely degraded with noise and streak artifacts due to excessive X-ray quantum noise, or with view-aliasing artifacts due to insufficient angular sampling. In 2005, the nonlocal means (NLM) algorithm was introduced as a non-iterative edge-preserving filter to denoise natural images corrupted by additive Gaussian noise, and showed superior performance. It has since been adapted and applied to many other image types and various inverse problems. This paper specifically reviews the applications of the NLM algorithm in LDCT image processing and reconstruction, and explicitly demonstrates its improving effects on the reconstructed CT image quality from low-dose acquisitions. The effectiveness of these applications on LDCT and their relative performance are described in detail.
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Registered trials
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.