In:
Korean Society of Computed Tomographic Technology, Korean Society of Computed Tomographic Technology, Vol. 24, No. 2 ( 2022-09-30), p. 43-47
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
2671-521X
,
2671-5228
Uniform Title:
CE-Boost 기술을 적용한 CT Angiography 영상 비교평가
DOI:
10.31320/JKSCT.2022.24.2.
DOI:
10.31320/JKSCT.2022.24.2.43
Language:
Unknown
Publisher:
Korean Society of Computed Tomographic Technology
Publication Date:
2022