TY - JOUR
T1 - Evaluation of abdominal computed tomography image quality using a new version of vendor-specific model-based iterative reconstruction
AU - Jensen, Corey T.
AU - Telesmanich, Morgan E.
AU - Wagner-Bartak, Nicolaus A.
AU - Liu, Xinming
AU - Rong, John
AU - Szklaruk, Janio
AU - Qayyum, Aliya
AU - Wei, Wei
AU - Chandler, Adam G.
AU - Tamm, Eric P.
N1 - Publisher Copyright:
© 2016 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2017
Y1 - 2017
N2 - Purpose: To qualitatively and quantitatively compare abdominal computed tomography (CT) images reconstructed with a new version of modelbased iterative reconstruction (Veo 3.0; GE Healthcare) to those created with Veo 2.0. Materials and Methods: This retrospective study was approved by our institutional review board and was Health Insurance Portability and Accountability Act compliant. The raw data from 29 consecutive patients who had undergone CTabdomen scanning was used to reconstruct 4 sets of 3.75-mm axial images: Veo 2.0, Veo 3.0 standard, Veo 3.0 5% resolution preference (RP), and Veo 3.0 20% RP. A slice thickness optimization of 3.75 mm and texture feature was selected for Veo 3.0 reconstructions. The images were reviewed by 3 independent readers in a blinded, randomized fashion using a 5-point Likert scale and 5-point comparative scale. Multiple 2-dimensional circular regions of interest were defined for noise and contrast-to-noise ratio measurements. Line profiles were drawn across the 7 lp/cm bar pattern of the CatPhan 600 phantom for spatial resolution evaluation. Results: The Veo 3.0 standard image set was scored better than Veo 2.0 in terms of artifacts (mean difference, 0.43; 95% confidence interval [95% CI], 0.25-0.6; P < 0.0001), overall image quality (mean difference, 0.87; 95% CI, 0.62-1.13; P < 0.0001) and qualitative resolution (mean difference, 0.9; 95% CI, 0.69-1.1; P < 0.0001). Although the Veo 3.0 standard and RP05 presets were preferred across most categories, the Veo 3.0 RP20 series ranked best for bone detail. Image noise and spatial resolution increased along a spectrum with Veo 2.0 the lowest and RP20 the highest. Conclusion: Veo 3.0 enhances imaging evaluation relative to Veo 2.0; readers preferred Veo 3.0 image appearance despite the associated mild increases in image noise. These results provide suggested parameters to be used clinically and as a basis for future evaluations, such as focal lesion detection, in the oncology setting.
AB - Purpose: To qualitatively and quantitatively compare abdominal computed tomography (CT) images reconstructed with a new version of modelbased iterative reconstruction (Veo 3.0; GE Healthcare) to those created with Veo 2.0. Materials and Methods: This retrospective study was approved by our institutional review board and was Health Insurance Portability and Accountability Act compliant. The raw data from 29 consecutive patients who had undergone CTabdomen scanning was used to reconstruct 4 sets of 3.75-mm axial images: Veo 2.0, Veo 3.0 standard, Veo 3.0 5% resolution preference (RP), and Veo 3.0 20% RP. A slice thickness optimization of 3.75 mm and texture feature was selected for Veo 3.0 reconstructions. The images were reviewed by 3 independent readers in a blinded, randomized fashion using a 5-point Likert scale and 5-point comparative scale. Multiple 2-dimensional circular regions of interest were defined for noise and contrast-to-noise ratio measurements. Line profiles were drawn across the 7 lp/cm bar pattern of the CatPhan 600 phantom for spatial resolution evaluation. Results: The Veo 3.0 standard image set was scored better than Veo 2.0 in terms of artifacts (mean difference, 0.43; 95% confidence interval [95% CI], 0.25-0.6; P < 0.0001), overall image quality (mean difference, 0.87; 95% CI, 0.62-1.13; P < 0.0001) and qualitative resolution (mean difference, 0.9; 95% CI, 0.69-1.1; P < 0.0001). Although the Veo 3.0 standard and RP05 presets were preferred across most categories, the Veo 3.0 RP20 series ranked best for bone detail. Image noise and spatial resolution increased along a spectrum with Veo 2.0 the lowest and RP20 the highest. Conclusion: Veo 3.0 enhances imaging evaluation relative to Veo 2.0; readers preferred Veo 3.0 image appearance despite the associated mild increases in image noise. These results provide suggested parameters to be used clinically and as a basis for future evaluations, such as focal lesion detection, in the oncology setting.
KW - CT
KW - MBIR
KW - Model-based iterative reconstruction
KW - Noise reduction
KW - Reconstruction techniques
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U2 - 10.1097/RCT.0000000000000472
DO - 10.1097/RCT.0000000000000472
M3 - Article
C2 - 27529683
AN - SCOPUS:84982098025
SN - 0363-8715
VL - 41
SP - 67
EP - 74
JO - Journal of computer assisted tomography
JF - Journal of computer assisted tomography
IS - 1
ER -