ArticleLa Radiologia medica2015
Hybrid iterative reconstruction technique for liver CT scans for image noise reduction and image quality improvement: evaluation of the optimal iterative reconstruction strengths.
Article in La Radiologia medica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Towards prospective identification of optimal scan parameters for CT-guided interventions: a phantom study.Scientific reports · 2026Article
- Improved visualization of pancreas and tumor boundaries using high-frequency kernels with deep-learning image reconstruction at high-strength level.Abdominal radiology (New York) · 2026Article
- Continuum topological derivative - a novel application tool for denoising CT and MRI medical images.BMC medical imaging · 2024Article
- Reconstruction Algorithm-Based CT Imaging for the Diagnosis of Hepatic Ascites.Computational and mathematical methods in medicine · 2022Article
- Article
- Myocardial extracellular volume quantification in cardiac CT: comparison of the effects of two different iterative reconstruction algorithms with MRI as a reference standard.European radiology · 2020Article
- 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
- Multimodal molecular 3D imaging for the tumoral volumetric distribution assessment of folate-based biosensors.Medical & biological engineering & computing · 2018Article
- Article
- Impact of model-based iterative reconstruction on low-contrast lesion detection and image quality in abdominal CT: a 12-reader-based comparative phantom study with filtered back projection at different tube voltages.European radiology · 2017Article
- Low-dose computed tomography with 4World journal of gastrointestinal oncology · 2017Article
- Determination of optimal imaging settings for urolithiasis CT using filtered back projection (FBP), statistical iterative reconstruction (IR) and knowledge-based iterative model reconstruction (IMR): a physical human phantom study.The British journal of radiology · 2016Article
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6 authors.
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Abstract
purposeThis study sought to investigate the effect of the hybrid iterative reconstruction (IR) algorithm (iDose, Philips Healthcare) on the improvement of image quality of computed tomography (CT) scans of the liver and determine the appropriate level of IR strength for clinical use. MATERIALS AND
methodsA total of 75 patients (41 men and 34 women; mean age, 59.5 years) with a primary abdominal malignancy who underwent two-phase liver CT scans for the work-up of their liver metastases, were included in this study. The CT images during the portal phase were reconstructed using either filtered back projection (FBP) or the hybrid IR algorithm with six different levels of IR strengths. The signal-to-noise ratio of the liver (SNR(liver)) and the contrast-to-noise ratio of the portal vein to muscle (CNR(pv to m)) were measured. For qualitative analysis, image noise, visibility of small intrahepatic vascular structures, beam-hardening artefact, lesion conspicuity, and overall image quality were graded by two radiologists.
resultsQuantitative analysis demonstrated that image noise was significantly reduced along with the increasing level of iDose and that the values of SNR(liver) and CNR(pv to m) were significantly better with iDose than those of FBP images. Qualitative assessment also showed significantly better results with iDose compared with FBP (p < 0.05) and the parameters for subjective image quality were highest with iDose level 4.
conclusionsThe hybrid IR technique is able to reduce image noise and to provide better image quality than FBP, and an intermediate strength of iDose (level 4) provided the highest quality images.
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