ReviewEuropean radiology2014
Quantitative analysis of emphysema and airway measurements according to iterative reconstruction algorithms: comparison of filtered back projection, adaptive statistical iterative reconstruction and model-based iterative reconstruction.
Review in European radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Leveraging deep learning-based kernel conversion for more precise airway quantification on CT.European radiology · 2025Article
- Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction.Medicina (Kaunas, Lithuania) · 2022Article
- Quantitative measurements of emphysema in ultra-high resolution computed tomography using model-based iterative reconstruction in comparison to that using hybrid iterative reconstruction.Physical and engineering sciences in medicine · 2022Article
- Feasibility of bronchial wall quantification in low- and ultralow-dose third-generation dual-source CT: An ex vivo lung study.Journal of applied clinical medical physics · 2020Article
- Comparisons of Hounsfield Unit Linearity between Images Reconstructed using an Adaptive Iterative Dose Reduction (AIDR) and a Filter Back-Projection (FBP) Techniques.Journal of biomedical physics & engineering · 2020Article
- Article
- Optimization of pulmonary emphysema quantification on CT scans of COPD patients using hybrid iterative and post processing techniques: correlation with pulmonary function tests.Insights into imaging · 2019Article
- Technical Note: Design and implementation of a high-throughput pipeline for reconstruction and quantitative analysis of CT image data.Medical physics · 2019Article
- Airway quantification using adaptive statistical iterative reconstruction-V on wide-detector low-dose CT: a validation study on lung specimen.Japanese journal of radiology · 2019Article
- Emphysema quantification using hybrid versus model-based generations of iterative reconstruction: SAFIRE versus ADMIRE.Medicine · 2019Article
- Quantitative Emphysema Measurement On Ultra-High-Resolution CT Scans.International journal of chronic obstructive pulmonary disease · 2019Article
- Emphysema quantification using chest CT: influence of radiation dose reduction and reconstruction technique.European radiology experimental · 2018Article
- Autocalibration method for non-stationary CT bias correction.Medical image analysis · 2018Article
- Comparison of low- and ultralow-dose computed tomography protocols for quantitative lung and airway assessment.Medical physics · 2017Article
- Impact of iterative reconstructions on objective and subjective emphysema assessment with computed tomography: a prospective study.European radiology · 2017Article
- The effects of iterative reconstruction and kernel selection on quantitative computed tomography measures of lung density.Medical physics · 2017Article
- Article
- Influence of model based iterative reconstruction algorithm on image quality of multiplanar reformations in reduced dose chest CT.Acta radiologica open · 2016Article
- Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification.European radiology · 2016Observational
- Use of Model-Based Iterative Reconstruction (MBIR) in reduced-dose CT for routine follow-up of patients with malignant lymphoma: dose savings, image quality and phantom study.European radiology · 2015Article
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6 authors.
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Abstract
objectivesTo evaluate filtered back projection (FBP) and two iterative reconstruction (IR) algorithms and their effects on the quantitative analysis of lung parenchyma and airway measurements on computed tomography (CT) images.
methodsLow-dose chest CT obtained in 281 adult patients were reconstructed using three algorithms: FBP, adaptive statistical IR (ASIR) and model-based IR (MBIR). Measurements of each dataset were compared: total lung volume, emphysema index (EI), airway measurements of the lumen and wall area as well as average wall thickness. Accuracy of airway measurements of each algorithm was also evaluated using an airway phantom.
resultsEI using a threshold of -950 HU was significantly different among the three algorithms in decreasing order of FBP (2.30 %), ASIR (1.49 %) and MBIR (1.20 %) (P < 0.01). Wall thickness was also significantly different among the three algorithms with FBP (2.09 mm) demonstrating thicker walls than ASIR (2.00 mm) and MBIR (1.88 mm) (P < 0.01). Airway phantom analysis revealed that MBIR showed the most accurate value for airway measurements.
conclusionThe three algorithms presented different EIs and wall thicknesses, decreasing in the order of FBP, ASIR and MBIR. Thus, care should be taken in selecting the appropriate IR algorithm on quantitative analysis of the lung. KEY POINTS: • Computed tomography is increasingly used to provide objective measurements of intra-thoracic structures. • Iterative reconstruction algorithms can affect quantitative measurements of lung and airways. • Care should be taken in selecting reconstruction algorithms in longitudinal analysis. • Model-based iterative reconstruction seems to provide the most accurate airway measurements.
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