ArticlePloS one2020
1024-pixel image matrix for chest CT - Impact on image quality of bronchial structures in phantoms and patients.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 15 citations in OpenAlex.
- Towards optimized CT lung cancer screening scan protocols.The British journal of radiology · 2026Article
- High-resolution chest CT using 1024-matrix reconstruction: phantom and clinical evaluation of image quality and post-processing capability.Japanese journal of radiology · 2026Article
- Clinical Value and Research Prospects of 1024 Matrix Optimization in 64-Slice Cerebral CTA for Perforating Artery Visualisation.Journal of medical radiation sciences · 2026Article
- Photon-Counting CT Angiography Enables Superior Preoperative Perforator Depiction for Fibular Transplant Surgery Requiring Less Contrast Agent Compared to Energy-Integrating CT.Diagnostics (Basel, Switzerland) · 2026Article
- Ultra-high spatial resolution at photon-counting computed tomography: technical insights and sustainable applications in cardiothoracic imaging.European radiology experimental · 2026Review
- Low-dose, high-resolution CT of infant-sized lungs via propagation-based phase contrast.Scientific reports · 2025Article
- Assessment of interstitial lung disease in a systemic sclerosis patient cohort using photon-counting detector CT with ultra-high resolution and a 1024-pixel image matrix.The British journal of radiology · 2024Article
- Photon-Counting Computed Tomography: Experience in Musculoskeletal Imaging.Korean journal of radiology · 2024Review
- First experience of evaluation of the impact of high-matrix size reconstruction in image quality in arterial CT runoff studies of the lower extremities.European radiology · 2023Article
- Influence of CT Image Matrix Size and Kernel Type on the Assessment of HRCT in Patients with SSC-ILD.Diagnostics (Basel, Switzerland) · 2022Article
- Intraindividual evaluation of effects of image filter function on image quality in coronary computed tomography angiography.Frontiers in cardiovascular medicine · 2022Article
- [Feasibility Study of Ultra-High-Resolution Low-Dose Temporal Bone CT with 1 024×1 024 Reconstruction Matrix Size].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2021Article
- A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography.Journal of clinical imaging science · 2021Article
- Assessment of Image Quality in Chest CT With Precision Matrix and Increased Framing Rate Using Single Source CT: A Phantom Study.In vivo (Athens, Greece)Article
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Authors and funding
7 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo compare objective and subjective image quality of bronchial structures between a 512-pixel and a 1024-pixel image matrix for chest CT in phantoms and in patients. MATERIALS AND
methodsFirst, a two-size chest phantom was imaged at two radiation doses on a 192-slice CT scanner. Datasets were reconstructed with 512-, 768-, and 1024-pixel image matrices and a sharp reconstruction kernel (Bl64). Image sharpness and normalized noise power spectrum (nNPS) were quantified. Second, chest CT images of 100 patients were reconstructed with 512- and 1024-pixel matrices and two blinded readers independently assessed objective and subjective image quality. In each patient dataset, the highest number of visible bronchi was counted for each lobe of the right lung. A linear mixed effects model was applied in the phantom study and a Welch's t-test in the patient study.
resultsObjective image sharpness and image noise increased with increasing matrix size and were highest for the 1024-matrix in phantoms and patients (all, P<0.001). nNPS was comparable among the three matrices. Objective image noise was on average 16% higher for the 1024-matrix compared to the 512-matrix in patients (P<0.0001). Subjective evaluation in patients yielded improved sharpness but increased image noise for the 1024- compared to the 512-matrix (both, P<0.001). There was no significant difference between highest-order visible bronchi (P>0.07) and the overall bronchial image quality between the two matrices (P>0.22).
conclusionOur study demonstrated superior image sharpness and higher image noise for a 1024- compared to a 512-pixel matrix, while there was no significant difference in the depiction and subjective image quality of bronchial structures for chest CT.
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