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X-ray dose reduction in abdominal computed tomography using advanced iterative reconstruction algorithms
- Source :
- PLoS ONE, Vol 9, Iss 3, p e92568 (2014), PLoS ONE
- Publication Year :
- 2014
- Publisher :
- Public Library of Science (PLoS), 2014.
-
Abstract
- Objective This work aims to explore the effects of adaptive statistical iterative reconstruction (ASiR) and model-based iterative reconstruction (MBIR) algorithms in reducing computed tomography (CT) radiation dosages in abdominal imaging. Methods CT scans on a standard male phantom were performed at different tube currents. Images at the different tube currents were reconstructed with the filtered back-projection (FBP), 50% ASiR and MBIR algorithms and compared. The CT value, image noise and contrast-to-noise ratios (CNRs) of the reconstructed abdominal images were measured. Volumetric CT dose indexes (CTDIvol) were recorded. Results At different tube currents, 50% ASiR and MBIR significantly reduced image noise and increased the CNR when compared with FBP. The minimal tube current values required by FBP, 50% ASiR, and MBIR to achieve acceptable image quality using this phantom were 200, 140, and 80 mA, respectively. At the identical image quality, 50% ASiR and MBIR reduced the radiation dose by 35.9% and 59.9% respectively when compared with FBP. Conclusions Advanced iterative reconstruction techniques are able to reduce image noise and increase image CNRs. Compared with FBP, 50% ASiR and MBIR reduced radiation doses by 35.9% and 59.9%, respectively.
- Subjects :
- Male
Radiography, Abdominal
Image quality
Radiography
Radiation Biophysics
Image Processing
Biophysics
lcsh:Medicine
Image processing
Iterative reconstruction
Signal-To-Noise Ratio
Biostatistics
Radiation Dosage
Imaging phantom
Diagnostic Radiology
Diagnostic Medicine
Image noise
Image Processing, Computer-Assisted
Medicine and Health Sciences
Humans
lcsh:Science
Tomography
Physics
Multidisciplinary
business.industry
Phantoms, Imaging
X-Rays
Radiology and Imaging
Applied Mathematics
lcsh:R
Biology and Life Sciences
Radiation Exposure
Computed Axial Tomography
Signal-to-noise ratio (imaging)
Signal Processing
Physical Sciences
Engineering and Technology
lcsh:Q
business
Nuclear medicine
Tomography, X-Ray Computed
Algorithm
Algorithms
Mathematics
Statistics (Mathematics)
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 9
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....9422b1ffb143f326bee45b126b8df0f8