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Determination of the optimal dose reduction level via iterative reconstruction using 640-slice volume chest CT in a pig model
- Source :
- PLoS ONE, PLoS ONE, Vol 10, Iss 3, p e0117213 (2015)
- Publication Year :
- 2014
-
Abstract
- Aim To determine the optimal dose reduction level of iterative reconstruction technique for paediatric chest CT in pig models. Materials and Methods 27 infant pigs underwent 640-slice volume chest CT with 80kVp and different mAs. Automatic exposure control technique was used, and the index of noise was set to SD10 (Group A, routine dose), SD12.5, SD15, SD17.5, SD20 (Groups from B to E) to reduce dose respectively. Group A was reconstructed with filtered back projection (FBP), and Groups from B to E were reconstructed using iterative reconstruction (IR). Objective and subjective image quality (IQ) among groups were compared to determine an optimal radiation reduction level. Results The noise and signal-to-noise ratio (SNR) in Group D had no significant statistical difference from that in Group A (P = 1.0). The scores of subjective IQ in Group A were not significantly different from those in Group D (P>0.05). There were no obvious statistical differences in the objective and subjective index values among the subgroups (small, medium and large subgroups) of Group D. The effective dose (ED) of Group D was 58.9% lower than that of Group A (0.20±0.05mSv vs 0.48±0.10mSv, p
- Subjects :
- medicine.medical_specialty
Cone beam computed tomography
Image quality
Swine
Chest ct
lcsh:Medicine
Iterative reconstruction
Signal-To-Noise Ratio
Radiation Dosage
Effective dose (radiation)
medicine
Animals
lcsh:Science
Automatic exposure control
Multidisciplinary
business.industry
lcsh:R
Pig model
Cone-Beam Computed Tomography
Models, Animal
Radiographic Image Interpretation, Computer-Assisted
lcsh:Q
Dose reduction
Radiography, Thoracic
Radiology
Nuclear medicine
business
Research Article
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 10
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....5e74957fce921d7b34ae6c0dfa29d9fc