A phantom study using dual-energy spectral computed tomography imaging: Comparison of image quality between two adaptive statistical iterative reconstruction (ASiR, ASiR-V) algorithms for evaluating ground-glass nodules of the lung

Aims: To assess the image quality of the two adaptive statistical iterative reconstruction (ASiR and ASiR-V) algorithms for evaluating ground-glass nodules (GGNs) of the lung. Subjects and Methods: The chest phantom with ground-glass simulated pulmonary nodules was scanned by dual-energy spectral co...

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Veröffentlicht in:Journal of cancer research and therapeutics Jg. 17; H. 7; S. 1742 - 1747
Hauptverfasser: Li, Jun, Gao, Jun, Wang, Guangli, Cui, Dingye, Deng, Kai
Format: Journal Article
Sprache:Englisch
Veröffentlicht: India Wolters Kluwer India Pvt. Ltd 01.12.2021
Medknow Publications and Media Pvt. Ltd
Medknow Publications & Media Pvt. Ltd
Schlagworte:
Algorithms
Comparative analysis
CT imaging
Diagnosis
Humans
Image processing
Lung - diagnostic imaging
Lung tumors
Methods
Noise
Radiation Dosage
Radiographic Image Interpretation, Computer-Assisted - methods
Signal-To-Noise Ratio
Tomography
Tomography, X-Ray Computed - methods
China
computed tomography
image quality
pulmonary nodules
spectral computed tomography
Adaptive statistical iterative reconstruction
ISSN:0973-1482, 1998-4138, 1998-4138
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Zusammenfassung:Aims: To assess the image quality of the two adaptive statistical iterative reconstruction (ASiR and ASiR-V) algorithms for evaluating ground-glass nodules (GGNs) of the lung. Subjects and Methods: The chest phantom with ground-glass simulated pulmonary nodules was scanned by dual-energy spectral computed tomography (CT) using gemstone spectral imaging mode. The image was reconstructed with ASiR and ASiR-V from 0 (FBP) to 90% blending percentages, respectively. The average noise and signal-to-noise ratio (SNR) of reconstruction images were calculated. The data were statistically analyzed. Results: Compared with FBP, as the percentage of ASiR and ASiR-V increased from 10 to 90%, image noise reduced by 3.7%-45.2% and 14.1%-73.8%, respectively, and the SNR increased accordingly. There was significantly higher SNR value of ASiR-V images as the percentages of IR increased to 50% or greater, compared to those of ASiR. Subjective image quality scores of ASiR and ASiR-V improved significantly as percentage increased from 10 to 80% for ASiR and ASiR-V (peaked at 60% for both of them). Conclusions: Both ASiR and ASiR-V can reduce the image noise and improve the objective image quality for presenting pulmonary nodules on dual-energy spectral CT imaging compared with FBP. ASiR-V provided further image quality improvement than ASiR, and both ASiR and ASiR-V 60% had the highest image quality score.
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ISSN:0973-1482
1998-4138
1998-4138
DOI:10.4103/jcrt.JCRT_1780_20