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Quantitative Analysis of the Effect of Iterative Reconstruction Using a Phantom: Determining the Appropriate Blending Percentage
- Source :
- Yonsei Medical Journal
- Publication Year :
- 2015
- Publisher :
- Yonsei University College of Medicine, 2015.
-
Abstract
- Purpose To investigate the optimal blending percentage of adaptive statistical iterative reconstruction (ASIR) in a reduced radiation dose while preserving a degree of image quality and texture that is similar to that of standard-dose computed tomography (CT). Materials and methods The CT performance phantom was scanned with standard and dose reduction protocols including reduced mAs or kVp. Image quality parameters including noise, spatial, and low-contrast resolution, as well as image texture, were quantitatively evaluated after applying various blending percentages of ASIR. The optimal blending percentage of ASIR that preserved image quality and texture compared to standard dose CT was investigated in each radiation dose reduction protocol. Results As the percentage of ASIR increased, noise and spatial-resolution decreased, whereas low-contrast resolution increased. In the texture analysis, an increasing percentage of ASIR resulted in an increase of angular second moment, inverse difference moment, and correlation and in a decrease of contrast and entropy. The 20% and 40% dose reduction protocols with 20% and 40% ASIR blending, respectively, resulted in an optimal quality of images with preservation of the image texture. Conclusion Blending the 40% ASIR to the 40% reduced tube-current product can maximize radiation dose reduction and preserve adequate image quality and texture.
- Subjects :
- iterative reconstruction
Image quality
Contrast Media
Computed tomography
Iterative reconstruction
Signal-To-Noise Ratio
Radiation Dosage
Imaging phantom
CT Image quality
Image texture
medicine
Humans
filtered back projection
texture analysis
Mathematics
Radon transform
medicine.diagnostic_test
Phantoms, Imaging
business.industry
Radiology, Nuclear Medicine & Medical Imaging
Radiation dose
radiation dose reduction
General Medicine
Radiographic Image Interpretation, Computer-Assisted
Original Article
Dose reduction
Artifacts
Tomography, X-Ray Computed
Nuclear medicine
business
Algorithms
Subjects
Details
- ISSN :
- 19762437 and 05135796
- Volume :
- 56
- Database :
- OpenAIRE
- Journal :
- Yonsei Medical Journal
- Accession number :
- edsair.doi.dedup.....8ab7fbe88b622218a96632386c94e50a