ArticleQuantitative imaging in medicine and surgery2021
Deep learning reconstruction versus iterative reconstruction for cardiac CT angiography in a stroke imaging protocol: reduced radiation dose and improved image quality.
Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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33 citing papers in PubMed, 78 citations in OpenAlex.
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- Comparing two deep learning spectral reconstruction levels for abdominal evaluation using a rapid-kVp-switching dual-energy CT scanner.Abdominal radiology (New York) · 2025Article
- Ultra-low-dose coronary CT angiography via super-resolution deep learning reconstruction: impact on image quality, coronary plaque, and stenosis analysis.European radiology · 2025Article
- Feasibility Study of Triple-low CCTA for Coronary Artery Disease Screening Combining Contrast Enhancement Boost and Deep Learning Reconstruction.Reviews in cardiovascular medicine · 2025Article
- Artificial Intelligence and Deep Learning in Revolutionizing Brain Tumor Diagnosis and Treatment: A Narrative Review.Cureus · 2024Review
- NoiseNet, a fully automatic noise assessment tool that can identify non-diagnostic CCTA examinations.The international journal of cardiovascular imaging · 2024Article
- Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography.The British journal of radiology · 2024Article
- Depiction rate of feeding arteries of renal cell carcinoma on four-dimensional computed tomography angiography.Japanese journal of radiology · 2024Article
- Enhanced visualization in endoleak detection through iterative and AI-noise optimized spectral reconstructions.Scientific reports · 2024Article
- Article
- Three-dimensional CT imaging in extensor tendons using deep learning reconstruction: optimal reconstruction parameters and the influence of dose.Physical and engineering sciences in medicine · 2023Article
- The image quality and diagnostic performance of CT perfusion-derived CT angiography versus that of conventional CT angiography.Quantitative imaging in medicine and surgery · 2023Article
- Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction.Cell reports. Medicine · 2023Article
- Assessment of Image Quality of Coronary CT Angiography Using Deep Learning-Based CT Reconstruction: Phantom and Patient Studies.Diagnostics (Basel, Switzerland) · 2023Article
- Ultra-High-Resolution CT of the Head and Neck with Deep Learning Reconstruction-Assessment of Image Quality and Radiation Exposure and Intraindividual Comparison with Normal-Resolution CT.Diagnostics (Basel, Switzerland) · 2023Article
- Radiation Doses in Cardiovascular Computed Tomography.Life (Basel, Switzerland) · 2023Review
- Impact of deep learning-based image reconstruction on image quality and lesion visibility in renal computed tomography at different doses.Quantitative imaging in medicine and surgery · 2023Article
- Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects.Radiology · 2023Review
- Factors associated with left atrial appendage filling defects on early-phase cardiac computed tomography in patients with nonvalvular atrial fibrillation: a case-control study.Quantitative imaging in medicine and surgery · 2023Article
- Improved image quality in transcatheter aortic valve implantation planning CT using deep learning-based image reconstruction.Quantitative imaging in medicine and surgery · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo assess the radiation dose and image quality of cardiac computed tomography angiography (CCTA) in an acute stroke imaging protocol using a deep learning reconstruction (DLR) method compared to a hybrid iterative reconstruction algorithm.
methodsRetrospective analysis of 296 consecutive patients admitted to the emergency department for stroke suspicion. All patients underwent a stroke CT imaging protocol including a non-enhanced brain CT, a brain perfusion CT imaging if necessary, a CT angiography (CTA) of the supra-aortic vessels, a CCTA and a post-contrast brain CT. The CCTA was performed with a prospectively ECG-gated volume acquisition. Among all CT scans performed, 143 were reconstructed with an iterative reconstruction algorithm (AIDR 3D, adaptive iterative dose reduction three dimensional) and 146 with a DLR algorithm (AiCE, advanced intelligent clear-IQ engine). Image noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and subjective image quality (IQ) scored from 1 to 4 were assessed. Dose-length product (DLP), volume CT dose index (CTDIvol) and effective dose (ED) were obtained.
resultsThe radiation dose was significantly lower with AiCE than with AIDR 3D (DLP =106.4±50.0
conclusionsThe use of a DLR algorithm for cardiac CTA in an acute stroke imaging protocol reduced the radiation dose by about 40% and improved the image quality by about 50% compared to an iterative reconstruction algorithm.
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