ArticleMedical physics2015
Accelerated statistical reconstruction for C-arm cone-beam CT using Nesterov's method.
Article in Medical physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 35 citations in OpenAlex.
- Truncation effect reduction for fast iterative reconstruction in cone-beam CT.BMC medical imaging · 2022Article
- Abbreviated on-treatment CBCT using roughness penalized mono-energization of kV-MV data and a multi-layer MV imager.Physics in medicine and biology · 2021Article
- Prior-image-based CT reconstruction using attenuation-mismatched priors.Physics in medicine and biology · 2021Article
- C-arm orbits for metal artifact avoidance (MAA) in cone-beam CT.Physics in medicine and biology · 2020Article
- Cone-beam CT for imaging of the head/brain: Development and assessment of scanner prototype and reconstruction algorithms.Medical physics · 2020Article
- Low Dose CT Image Reconstruction Based on Structure Tensor Total Variation Using Accelerated Fast Iterative Shrinkage Thresholding Algorithm.Sensors (Basel, Switzerland) · 2020Article
- Known-component 3D image reconstruction for improved intraoperative imaging in spine surgery: A clinical pilot study.Medical physics · 2019Article
- Convergence criterion for MBIR based on the local noise-power spectrum: Theory and implementation in a framework for accelerated 3D image reconstruction with a morphological pyramid.Proceedings of SPIE--the International Society for Optical Engineering · 2019Article
- Evaluation and Clinical Application of a Commercially Available Iterative Reconstruction Algorithm for CBCT-Based IGRT.Technology in cancer research & treatment · 2019Article
- Image quality and dose characteristics for an O-arm intraoperative imaging system with model-based image reconstruction.Medical physics · 2018Article
- Regularization strategies in statistical image reconstruction of low-dose x-ray CT: A review.Medical physics · 2018Review
- Numerical algorithms for scatter-to-attenuation reconstruction in PET: empirical comparison of convergence, acceleration, and the effect of subsets.IEEE transactions on radiation and plasma medical sciences · 2017Article
- Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction.IEEE transactions on medical imaging · 2017Article
- An Investigation of Low-Dose 3D Scout Scans for Computed Tomography.Proceedings of SPIE--the International Society for Optical Engineering · 2017Article
- Hybrid spectral CT reconstruction.PloS one · 2017Article
- Article
- Improvements in CBCT Image Quality Using a Novel Iterative Reconstruction Algorithm: A Clinical Evaluation.Advances in radiation oncologyArticle
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
purposeTo accelerate model-based iterative reconstruction (IR) methods for C-arm cone-beam CT (CBCT), thereby combining the benefits of improved image quality and/or reduced radiation dose with reconstruction times on the order of minutes rather than hours.
methodsThe ordered-subsets, separable quadratic surrogates (OS-SQS) algorithm for solving the penalized-likelihood (PL) objective was modified to include Nesterov's method, which utilizes "momentum" from image updates of previous iterations to better inform the current iteration and provide significantly faster convergence. Reconstruction performance of an anthropomorphic head phantom was assessed on a benchtop CBCT system, followed by CBCT on a mobile C-arm, which provided typical levels of incomplete data, including lateral truncation. Additionally, a cadaveric torso that presented realistic soft-tissue and bony anatomy was imaged on the C-arm, and different projectors were assessed for reconstruction speed.
resultsNesterov's method provided equivalent image quality to OS-SQS while reducing the reconstruction time by an order of magnitude (10.0 ×) by reducing the number of iterations required for convergence. The faster projectors were shown to produce similar levels of convergence as more accurate projectors and reduced the reconstruction time by another 5.3 ×. Despite the slower convergence of IR with truncated C-arm CBCT, comparison of PL reconstruction methods implemented on graphics processing units showed that reconstruction time was reduced from 106 min for the conventional OS-SQS method to as little as 2.0 min with Nesterov's method for a volumetric reconstruction of the head. In body imaging, reconstruction of the larger cadaveric torso was reduced from 159 min down to 3.3 min with Nesterov's method.
conclusionsThe acceleration achieved through Nesterov's method combined with ordered subsets reduced IR times down to a few minutes. This improved compatibility with clinical workflow better enables broader adoption of IR in CBCT-guided procedures, with corresponding benefits in overcoming conventional limits of image quality at lower dose.
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