ArticleMedical image analysis2021
Directional-TV algorithm for image reconstruction from limited-angular-range data.
Article in Medical image analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Improving depth-resolution, in-plane contrast, and reducing non-uniformity artifacts for wide-angle DBT.ArXiv · 2026Article
- Accelerated Physics-guided Diffusion Model for 3D Limited-angle Reconstruction of Cardiac Computed Tomography.IEEE transactions on radiation and plasma medical sciences · 2026Article
- Prior Image-Guided Adaptive-Weighted Relative Total Variation for Sparse-View Computed Laminography of Plate-like Objects.Sensors (Basel, Switzerland) · 2026Article
- Clinical Metadata-Guided Limited-Angle CT Image Reconstruction.IEEE transactions on medical imaging · 2026Article
- Physics-Informed Score-Based Diffusion Model for Limited-Angle Reconstruction of Cardiac Computed Tomography.IEEE transactions on medical imaging · 2025Article
- HDTV: a high-order directional total variation reconstruction algorithm from sparse and limited-angle data in electron paramagnetic resonance imaging.Quantitative imaging in medicine and surgery · 2025Article
- Accurate image reconstruction from reduced data in pulsed electron paramagnetic resonance imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2025Article
- Multi-basis-image reconstruction from conventional data acquired in standard CT.Physics in medicine and biology · 2025Article
- Image Reconstruction of Multiple Basis Materials With Data Augmentation in DECT.IEEE transactions on bio-medical engineering · 2025Article
- Accurate image reconstruction within and beyond the field-of-view of CT system from data with truncation.Physics in medicine and biology · 2025Article
- Accurate volume image reconstruction for digital breast tomosynthesis with directional-gradient and pixel sparsity regularization.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Limited-Angle Tomography Using a Neural Network as the Objective Function.International journal of biomedical research & practice · 2025Article
- Accurate Reconstruction of Multiple Basis Images Directly From Dual Energy CT Data.IEEE transactions on bio-medical engineering · 2024Article
- Article
- Accurate reconstruction of 4D spectral-spatial images from sparse-view data in continuous-wave EPRI.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2024Article
- Directional TV algorithm for fast EPR imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2024Article
- Prototyping optimization-based image reconstructions from limited-angular-range data in dual-energy CT.Medical image analysis · 2024Article
- Article
- 4D-image reconstruction directly from limited-angular-range data in continuous-wave electron paramagnetic resonance imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2023Article
- Accurate Image Reconstruction in Dual-Energy CT with Limited-Angular-Range Data Using a Two-Step Method.Bioengineering (Basel, Switzerland) · 2022Article
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5 authors.
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Abstract
Investigation of image reconstruction from data collected over a limited-angular range in X-ray CT remains a topic of active research because it may yield insight into the development of imaging workflow of practical significance. This reconstruction problem is well-known to be challenging, however, because it is highly ill-conditioned. In the work, we investigate optimization-based image reconstruction from data acquired over a limited-angular range that is considerably smaller than the angular range in short-scan CT. We first formulate the reconstruction problem as a convex optimization program with directional total-variation (TV) constraints applied to the image, and then develop an iterative algorithm, referred to as the directional-TV (DTV) algorithm for image reconstruction through solving the optimization program. We use the DTV algorithm to reconstruct images from data collected over a variety of limited-angular ranges for breast and bar phantoms of clinical- and industrial-application relevance. The study demonstrates that the DTV algorithm accurately recovers the phantoms from data generated over a significantly reduced angular range, and that it considerably diminishes artifacts observed otherwise in reconstructions of existing algorithms. We have also obtained empirical conditions on minimal-angular ranges sufficient for numerically accurate image reconstruction with the DTV algorithm.
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