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Attenuation-Based Automatic Tube Potential Selection in Cerebral Computed Tomography Angiography: Effects on Radiation Exposure and Image Quality

Other Titles
 뇌혈관 컴퓨터단층촬영 조영술에서의 감쇄 기반 자동 관전압 선택 알고리즘: 방사선 조사와 영상 품질에 미치는 영향 
Authors
 Jeong Min Choi  ;  Joo Hee Kim  ;  Seong Min Kang  ;  Jeong-Sik Yu  ;  Jae-Joon Chung  ;  Eun-Suk Cho 
Citation
 Journal of the Korean Society of Radiology, Vol.78(1) : 35-43, 2018 
Journal Title
Journal of the Korean Society of Radiology(대한영상의학회지)
ISSN
 1738-2637 
Issue Date
2018
Keywords
Computed Tomography Angiography ; Brain ; Cerebral Arteries ; Radiation
Abstract
Objective: To investigate the feasibility of using the attenuation-based automatic tube potential selection (ATPS) algorithm for cerebral computed tomography angiography (CTA) and to assess radiation dose, vascular attenuation, and image quality compared to a conventional fixed 120-kVp protocol.
Materials and Methods: Among 36 volunteers for cerebral CTA, a total of 18 were scanned with fixed 120 kVp and 140 effective mAs using automatic tube current modulation. The other 18 were scanned with an ATPS algorithm. Radiation doses, attenuation, contrast-to-noise ratio (CNR) of the cerebral arteries, subjective scores for arterial attenuation, edge sharpness of the artery, visibility of small arteries, venous contamination, image noise, and overall image quality were compared between the groups.
Results: The volume CT dose index and effective dose of the ATPS group were lower than those of the fixed 120-kVp group. The ATPS group had significantly higher arterial attenuation and no significant difference in CNR, compared with the fixed 120-kVp. The ATPS group had higher subjective scores for arterial attenuation, edge sharpness of the artery, visibility of small arteries, and overall image quality.
Conclusion: The ATPS algorithm for the cerebral CTA reduced radiation dose by 43% while maintaining image quality and improved the attenuation of cerebral arteries by selecting lower tube potential.
Files in This Item:
T201804680.pdf Download
DOI
10.3348/jksr.2018.78.1.35
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Joo Hee(김주희) ORCID logo https://orcid.org/0000-0001-5383-3602
Yu, Jeong Sik(유정식) ORCID logo https://orcid.org/0000-0002-8171-5838
Chung, Jae Joon(정재준) ORCID logo https://orcid.org/0000-0002-7447-1193
Cho, Eun Suk(조은석)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/166779
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