Image quality of iterative reconstruction in cranial CT imaging: comparison of model-based iterative reconstruction (MBIR) and adaptive statistical iterative reconstruction (ASiR).
Objectives: The purpose of this study was to compare cranial CT (CCT) image quality (IQ) of the MBIR algorithm with standard iterative reconstruction (ASiR).Methods: In this institutional review board (IRB)-approved study, raw data sets of 100 unenhanced CCT examinations (120 kV, 50-260 mAs, 20 mm c...
| Publicado en: | European Radiology Vol. 25; no. 1; pp. 140 - 147 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jan2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109768986&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109768986 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jan2015 vid: 25 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109768986 NLM25097137 2012825769 10.1007/s00330-014-3374-8 NLM25097137 109768986 ppf: 140 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Image quality of iterative reconstruction in cranial CT imaging: comparison of model-based iterative reconstruction (MBIR) and adaptive statistical iterative reconstruction (ASiR). aug: au: Notohamiprodjo, S Deak, Z Meurer, F Maertz, F Mueck, F G Geyer, L L Wirth, S affil: Institute for Clinical Radiology, Ludwig-Maximilians University Hospital of Munich, Nussbaumstr. 20, 80336, Munich, Germany, Susan.Notohamiprodjo@med.uni-muenchen.de. sug: subj: Brain Diseases Radiography Radiographic Image Interpretation, Computer-Assisted Methods Adult Aged Aged, 80 and Over Algorithms Artifacts Contrast Media Diagnostic Use Female Human Male Middle Age Models, Theoretical Prospective Studies Radiation Dosage Sensitivity and Specificity Tomography, X-Ray Computed Methods Young Adult Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female Male ab: Objectives: The purpose of this study was to compare cranial CT (CCT) image quality (IQ) of the MBIR algorithm with standard iterative reconstruction (ASiR).Methods: In 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).Results: MBIR 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).Conclusions: MBIR 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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