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KMID : 1149020220240020043
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Journal of Korean Society of Computed Tomographic Technology
2022 Volume.24 No. 2 p.43 ~ p.47
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Comparative Evaluation of CT Angiography Images Applied with CE-BOOST
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Kwon Gi-Jin
Lee Soo-Young
Lee Seul-Bi
Jeon Sang-Hyun
Jang Sang-Hyun
Jeon Pil-Hyeon
Shin Seong-Su
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Abstract
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With the rapid development of image processing technology using Deep Learning Reconstruction (DLR), Contrast Enhancement Boost Technique (CE-Boost) was developed using a subtraction technique for contrast-enhanced images. In this study, CE-Boost was applied to CT angiography (CTA) to conduct quantitative evaluation. Lower extremity, neck and abdominal angiography images from 60 people quantitatively analyzed the difference between conventional enhanced image and CE-Boost image quality by measuring signal to noise ratio (SNR), noise and contrast to noise ratio (CNR) values. When CE-Boost technology was applied to CTA, Noise was reduced and SNR and CNR values were increased by more than 50% compared to conventional images. CE-Boost reduces noise, increases SNR and CNR values in CTA, and helps improve overall image quality.
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KEYWORD
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CE-Boost, Enhanced image, Deep learning reconstruction, CT Angiography
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