ArticleEuropean radiology2015
Image quality of iterative reconstruction in cranial CT imaging: comparison of model-based iterative reconstruction (MBIR) and adaptive statistical iterative reconstruction (ASiR).
Article in European radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 34 citations in OpenAlex.
- Insights about cervical lymph nodes: Evaluating deep learning-based reconstruction for head and neck computed tomography scan.European journal of radiology open · 2024Article
- Utility of follow-up ultra-high-resolution CT angiography with model-based iterative reconstruction after flow diverter treatment for cerebral aneurysms.La Radiologia medica · 2023Article
- Pediatric low-dose head CT: Image quality improvement using iterative model reconstruction.The neuroradiology journal · 2023Article
- Model-based reconstruction algorithm in the detection of acute trauma-related lesions in brain CT examinations.The neuroradiology journal · 2021Article
- A "one-stop-shop" 4D CTA protocol using 320-row CT for advanced imaging in acute ischemic stroke: a technical note.European radiology · 2019Article
- Comparison of Iterative Model Reconstruction versus Filtered Back-Projection in Pediatric Emergency Head CT: Dose, Image Quality, and Image-Reconstruction Times.AJNR. American journal of neuroradiology · 2019Article
- Observational
- Low-dose CT imaging of the acute abdomen using model-based iterative reconstruction: a prospective study.Emergency radiology · 2019Article
- "Hyperdense artery sign" in early ischemic stroke: diagnostic value of model-based reconstruction approach in comparison with standard hybrid iterative reconstruction algorithm.Neuroradiology · 2018Observational
- Could new reconstruction CT techniques challenge MRI for the detection of brain metastases in the context of initial lung cancer staging?European radiology · 2018Article
- Diagnostic accuracy of contemporary multidetector computed tomography (MDCT) for the detection of lumbar disc herniation.European radiology · 2017Article
- Submillisievert CT using model-based iterative reconstruction with lung-specific setting: An initial phantom study.European radiology · 2016Article
- Image Quality Required for the Diagnosis of Skull Fractures Using Head CT: A Comparison of Conventional and Improved Reconstruction Kernels.AJNR. American journal of neuroradiology · 2016Article
- Image quality and dose optimisation for infant CT using a paediatric phantom.European radiology · 2016Article
- Comparison of iterative model, hybrid iterative, and filtered back projection reconstruction techniques in low-dose brain CT: impact of thin-slice imaging.Neuroradiology · 2016Article
- Intra-individual diagnostic image quality and organ-specific-radiation dose comparison between spiral cCT with iterative image reconstruction and z-axis automated tube current modulation and sequential cCT.European journal of radiology open · 2016Review
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe purpose of this study was to compare cranial CT (CCT) image quality (IQ) of the MBIR algorithm with standard iterative reconstruction (ASiR).
methodsIn this institutional review board (IRB)-approved study, raw data sets of 100 unenhanced CCT examinations (120 kV, 50-260 mAs, 20 mm collimation, 0.984 pitch) were reconstructed with both ASiR and MBIR. Signal-to-noise (SNR) and contrast-to-noise (CNR) were calculated from attenuation values measured in caudate nucleus, frontal white matter, anterior ventricle horn, fourth ventricle, and pons. Two radiologists, who were blinded to the reconstruction algorithms, evaluated anonymized multiplanar reformations of 2.5 mm with respect to depiction of different parenchymal structures and impact of artefacts on IQ with a five-point scale (0: unacceptable, 1: less than average, 2: average, 3: above average, 4: excellent).
resultsMBIR decreased artefacts more effectively than ASiR (p < 0.01). The median depiction score for MBIR was 3, whereas the median value for ASiR was 2 (p < 0.01). SNR and CNR were significantly higher in MBIR than ASiR (p < 0.01).
conclusionsMBIR showed significant improvement of IQ parameters compared to ASiR. As CCT is an examination that is frequently required, the use of MBIR may allow for substantial reduction of radiation exposure caused by medical diagnostics. KEY POINTS: • Model-Based iterative reconstruction (MBIR) effectively decreased artefacts in cranial CT. • MBIR reconstructed images were rated with significantly higher scores for image quality. • Model-Based iterative reconstruction may allow reduced-dose diagnostic examination protocols.
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