Impact of model-based iterative reconstruction (MBIR) on image quality in cerebral CT angiography before and after intracranial aneurysm treatment.

Details

Serval ID
serval:BIB_190B99E62CC7
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Impact of model-based iterative reconstruction (MBIR) on image quality in cerebral CT angiography before and after intracranial aneurysm treatment.
Journal
European journal of radiology
Author(s)
Hajdu S.D., Daniel R.T., Meuli R.A., Zerlauth J.B., Dunet V.
ISSN
1872-7727 (Electronic)
ISSN-L
0720-048X
Publication state
Published
Issued date
05/2018
Peer-reviewed
Oui
Volume
102
Pages
109-114
Language
english
Notes
Publication types: Journal Article ; Observational Study
Publication Status: ppublish
Abstract
To subjectively and objectively assess the impact of model-based iterative reconstruction(MBIR) on image quality in cerebral computed tomography angiography compared to adaptive statistical iterative reconstruction (ASIR).
107 patients (mean age: 58 ± 14 years) were included prior to (n = 38) and after (n = 69) intracranial aneurysm treatment. Images were acquired using a routine protocol and reconstructed with MBIR and ASIR. Image noise, signal-to-noise (SNR) and contrast-to-noise (CNR) ratios in the internal carotid and middle cerebral arteries were compared between MBIR and ASIR using the Wilcoxon signed-rank test. Additionally, two neuroradiologists subjectively assessed noise, artefacts, vessel sharpness and overall quality using a semi-quantitative assessment scale.
Objective assessment revealed that MBIR reduced noise (p < 0.0001) and additionally improved SNR (p < 0.0001) and CNR (p < 0.0001) compared to ASIR in untreated and treated patients. Subjective assessment revealed that in untreated patients, MBIR improved noise reduction, artefacts, vessel sharpness and overall quality relative to ASIR (p < 0.0001). In the treated groups, noise and vessel sharpness were improved (p < 0.0001) with no change in artefacts on images reconstructed with MBIR compared to ASIR.
MBIR significantly improves noise, SNR, CNR and vessel sharpness in untreated and treated patients with intracranial aneurysms. MBIR does not reduce artefacts generated by metallic devices following intracranial aneurysm treatment.
Keywords
Adolescent, Adult, Aged, Aged, 80 and over, Algorithms, Artifacts, Cerebral Angiography/methods, Computed Tomography Angiography/methods, Embolization, Therapeutic, Female, Humans, Image Processing, Computer-Assisted/methods, Intracranial Aneurysm/diagnostic imaging, Intracranial Aneurysm/surgery, Intracranial Aneurysm/therapy, Male, Middle Aged, Radiation Dosage, Radiographic Image Interpretation, Computer-Assisted/methods, Retrospective Studies, Treatment Outcome, Young Adult, Angiography, Computed tomography, Image reconstruction, Intracranial aneurysm, Surgical clip
Pubmed
Web of science
Create date
26/04/2018 17:16
Last modification date
24/12/2019 6:20
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