Article ; Online: 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
2022 Volume 45, Issue 1, Page(s) 115–124
Abstract: The percentage of low attenuation volume ratio (LAVR), which is measured using computed tomography (CT), is an index of the severity of emphysema. For LAVR evaluation, ultra-high-resolution (U-HR) CT images are useful. To improve the image quality of U- ... ...
| Abstract | The percentage of low attenuation volume ratio (LAVR), which is measured using computed tomography (CT), is an index of the severity of emphysema. For LAVR evaluation, ultra-high-resolution (U-HR) CT images are useful. To improve the image quality of U-HRCT, iterative reconstruction is used. There are two types of iterative reconstruction: hybrid iterative reconstruction (HIR) and model-based iterative reconstruction (MBIR). In this study, we physically and clinically evaluated U-HR images reconstructed with HIR and MBIR, and demonstrated the usefulness of U-HR images with MBIR for quantitative measurements of emphysema. Both images were reconstructed with a slice thickness of 0.25 mm and an image matrix size of 1024 × 1024 pixels. For physical evaluation, the modulation transfer function (MTF) and noise power spectrum (NPS) of HIR and MBIR were compared. For clinical evaluation, LAVR calculated from HIR and MBIR were compared using the Wilcoxon matched-pairs signed-rank test. In addition, the correlation between LAVR and forced expiratory volume in one second (FEV |
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| MeSH term(s) | Algorithms ; Emphysema ; Humans ; Radiation Dosage ; Radiographic Image Interpretation, Computer-Assisted/methods ; Tomography, X-Ray Computed/methods |
| Language | English |
| Publishing date | 2022-01-13 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ISSN | 2662-4737 |
| ISSN (online) | 2662-4737 |
| DOI | 10.1007/s13246-021-01091-2 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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