A method for selecting a protocol for routine body CT scan using Gemstone Spectral Imaging with or without adaptive statistical iterative reconstruction: phantom experiments

2014 ◽  
Vol 32 (4) ◽  
pp. 217-223 ◽  
Author(s):  
Haruhiko Machida ◽  
Rika Fukui ◽  
Isao Tanaka ◽  
Yun Shen ◽  
Takuya Ishikawa ◽  
...  
Keyword(s):  
Ct Scan ◽  
Iterative Reconstruction ◽  
Spectral Imaging ◽  
Adaptive Statistical Iterative Reconstruction ◽  
Gemstone Spectral Imaging ◽  
Statistical Iterative Reconstruction ◽  
Phantom Experiments ◽  
Body Ct

scholarly journals First experience with combined use of adaptive statistical iterative reconstruction and gemstone spectral imaging in spinal fusion CT images

2015 ◽  
Author(s):  
Fengdan Wang ◽  
Yan Zhang ◽  
Zhengyu Jin ◽  
Richard Zwar
Keyword(s):  
Image Quality ◽  
Iterative Reconstruction ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Metal Artifacts ◽  
Adaptive Statistical Iterative Reconstruction ◽  
Subjective Image Quality ◽  
Gemstone Spectral Imaging ◽  
Statistical Iterative Reconstruction ◽  
Combined Use

Objective. To explore whether the image noises and the metal artifacts could be further managed by the combined use of two technologies, the adaptive statistical iterative reconstruction (ASIR) and the monochromatic imaging generated by gemstone spectral imaging (GSI) dual-energy CT. Materials and Methods. Fifty-one patients with 318 spinal pedicle screws were prospectively scanned with dual energy CT by using fast kV-switching GSI between 80 and 140 kVp. The monochromatic GSI images at 110 keV were reconstructed either without ASIR or with ASIR of various levels (30%, 50%, 70% and 100%). For these five sets of images, both objective and subjective image quality assessments were performed to evaluate the image quality. Results. With objective image quality assessment, the metal artifacts (measured by an artifacts index) significantly decreased when increasing levels of ASIR was utilized (p < 0.001). Moreover, adding ASIR to GSI also decreased the image noise (p < 0.001) and improved the signal-to-noise ratio (SNR, p < 0.001). With subjective image quality analysis, the inter-reader agreements were good, with intra-class correlation coefficients (ICC) of 0.89 to 0.99. Meanwhile, the visualization of the peri-implant soft tissue was improved at higher ASIR levels (p < 0.001). Conclusion. Combined use of ASIR and GSI is shown to decrease the image noise and improve the image quality in post-spinal fusion CT scans. Optimal results were achieved with ASIR levels of over 70%.

scholarly journals ADAPTIVE STATISTICAL ITERATIVE RECONSTRUCTION FOR OPTIMIZATION IMAGE QUALITY OF CT SCAN ABDOMEN

2020 ◽  
Vol 9 (1) ◽  
pp. 61-64
Author(s):  
Lydia Purna W ◽  
Rini Indrati ◽  
Arieyanti Biyono
Keyword(s):  
Ct Scan ◽  
Iterative Reconstruction ◽  
Adaptive Statistical Iterative Reconstruction ◽  
Axial Section ◽  
Image Information ◽  
Statistical Iterative Reconstruction ◽  
Anatomical Image ◽  
The One ◽  
One Way Anova

Adaptive Statistical Iterative Reconstruction is software used to reduce noise. In several hospital uses the ASIR application with varying percentages between radiographers. The purpose of this study was to determine differences in noise and anatomical image information on variations in the percentage of ASIR and ASIR values that reveal optimal CT scan anatomic image information. This type of research is experimental, data are taken from 30 samples of reconstructive CT scan of the abdomen by giving four variations of ASIR (0%, 40%, 60%, and 80%). Noise measurement is done by placing the ROI size of 105.61 mm2 at three points, namely superior liver, inferior liver and middle of the aorta on the axial section. while the assessment of anatomical image information by observation of the results of variations in the value of ASIR by two radiologists. Data analysis uses the One way Anova test to determine differences in noise, Friedman test to determine differences in anatomical image information with a confidence level of 95%. The results showed that there were differences in the abdominal CT scan image noise on variations in the percentage of ASIR with p -alues 0.001. Noise decreased with increasing percentage ASIR. The highest noise value is 15.34 at ASIR 0% while the lowest noise is 8.57 at ASIR 80%. There are differences in anatomical image information on the variation of ASIR with p-values 0.001. The percentage ASIR of 40% is the optimal ASIR value for displaying CT images of abdominal with mean rank of 3.46.

scholarly journals First experience with combined use of adaptive statistical iterative reconstruction and gemstone spectral imaging in spinal fusion CT images

2015 ◽  
Author(s):  
Fengdan Wang ◽  
Yan Zhang ◽  
Zhengyu Jin ◽  
Richard Zwar
Keyword(s):  
Image Quality ◽  
Iterative Reconstruction ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Metal Artifacts ◽  
Adaptive Statistical Iterative Reconstruction ◽  
Subjective Image Quality ◽  
Gemstone Spectral Imaging ◽  
Statistical Iterative Reconstruction ◽  
Combined Use

Objective. To explore whether the image noises and the metal artifacts could be further managed by the combined use of two technologies, the adaptive statistical iterative reconstruction (ASIR) and the monochromatic imaging generated by gemstone spectral imaging (GSI) dual-energy CT. Materials and Methods. Fifty-one patients with 318 spinal pedicle screws were prospectively scanned with dual energy CT by using fast kV-switching GSI between 80 and 140 kVp. The monochromatic GSI images at 110 keV were reconstructed either without ASIR or with ASIR of various levels (30%, 50%, 70% and 100%). For these five sets of images, both objective and subjective image quality assessments were performed to evaluate the image quality. Results. With objective image quality assessment, the metal artifacts (measured by an artifacts index) significantly decreased when increasing levels of ASIR was utilized (p < 0.001). Moreover, adding ASIR to GSI also decreased the image noise (p < 0.001) and improved the signal-to-noise ratio (SNR, p < 0.001). With subjective image quality analysis, the inter-reader agreements were good, with intra-class correlation coefficients (ICC) of 0.89 to 0.99. Meanwhile, the visualization of the peri-implant soft tissue was improved at higher ASIR levels (p < 0.001). Conclusion. Combined use of ASIR and GSI is shown to decrease the image noise and improve the image quality in post-spinal fusion CT scans. Optimal results were achieved with ASIR levels of over 70%.

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